Statistical Reports Jobs in Hyderabad

Position Title: Power BI Developer Location: Hyderabad Department: Data & Analytics Experience Required: 3 7 Years Employment Type: Full-Time Company: GSPANN Technologies Job Description: GSPANN is looking for experienced and motivated Power BI Developers to join our growing Data Platform team in Hyderabad. This role is ideal for professionals who thrive in a fast-paced environment and are passionate about delivering actionable insights through data visualization and business intelligence tools. Roles and Responsibilities: Design, develop, and maintain interactive Power BI reports, dashboards, and KPI scorecards. Gather and integrate data from various sources such as SQL Server, Oracle, APIs, and cloud-based systems. Implement row-level security, user access control, and data governance protocols in Power BI. Translate complex business requirements into technical solutions and visual stories. Perform data modeling, transformations, and calculations using DAX and Power Query (M). Optimize report performance and data refresh schedules. Collaborate with business stakeholders to capture requirements and deliver insights in a timely fashion. Publish and schedule reports and dashboards for automated distribution. Work with Azure services like Data Lake, Data Factory, and Power Apps (preferred but not mandatory). Skills and Experience: Proven experience (3+ years) with Power BI Desktop and Power BI Service. Strong expertise in DAX (Data Analysis Expressions) and M (Power Query). Solid foundation in Data Warehousing, ETL, and Business Intelligence concepts. Familiarity with SQL, Oracle, and other relational databases. Working knowledge of Azure (Data Factory, Data Lake, Power Apps) is a plus. Ability to interpret business requirements and translate them into technical specifications. Good understanding of Power BI workspace management, dataset refresh, and deployment pipelines. Experience in handling large and complex datasets for enterprise-level reporting. Nice to Have: Knowledge of other BI tools like Tableau or Qlik. Experience with Agile/Scrum methodologies. Exposure to CI/CD for BI deployments. Join a rapidly growing organization at the forefront of digital transformation. Work with top-tier clients across industries. Collaborate with a global team of experts in data and analytics. Accelerate your career growth with continuous learning and mentorship.

Senior Data Scientist Data | Hyderabad, India | Full-Time About Salesforce We re Salesforce, the Customer Company, empowering businesses worldwide with AI, Data, and CRM. We believe business is a platform for change helping companies innovate, grow, and connect with customers in new ways. Join us to be a Trailblazer driving your career and impacting the future of business. Role Overview We re seeking an experienced Senior Data Scientist to lead development of advanced marketing attribution, causal inference, and uplift models that enhance marketing effectiveness and efficiency. You will design experiments, establish consistent measurement frameworks, and deliver impactful data-driven insights supporting marketing, customer engagement, and digital initiatives. You will own the full model lifecycle from ideation and prototyping to deployment and ongoing production monitoring ensuring rigor, scalability, and ethical application aligned with Salesforce s core value of Trust. Key Responsibilities Develop sophisticated statistical and machine learning models to optimize marketing investments (e.g., attribution, uplift, causal inference). Create algorithms for marketing spend optimization and ROI improvement across multiple channels. Lead full lifecycle model development: data exploration, design, testing, deployment, monitoring, and tuning. Design statistically sound experiments (A/B, multi-cell) to measure marketing and campaign impact. Collaborate cross-functionally with marketing, engineering, and analytics teams to operationalize measurement and experimentation frameworks. Stay updated on innovations in SaaS, AdTech, paid media, and analytics to continuously evolve modeling approaches. Advocate responsible and ethical use of data and models in line with company policies. Required Skills & Experience Master s or Ph.D. in Statistics, Economics, Industrial Engineering, Operations Research, Applied Math, or related quantitative fields. 8+ years of hands-on experience designing marketing optimization models (multi-channel attribution, uplift, customer lifetime value, propensity). Extensive experience in experiment design and causal inference for business impact evaluation. Strong programming skills in Python, R, PySpark, Java. Expert-level SQL skills for large-scale data exploration and manipulation. Experience with cloud platforms like GCP or AWS for scalable model development and deployment preferred. Exceptional quantitative reasoning and ability to translate analysis into actionable business insights. Excellent communication skills, capable of collaborating across diverse teams. Creative problem-solving mindset with ability to simplify complex challenges. Experience with B2B customer data and Salesforce products is a plus. Work on high-impact projects using state-of-the-art AI and analytics technologies. Collaborate with top-tier data science and marketing experts. Thrive in an innovative, inclusive culture that values Trust and continuous learning. Drive real-world business transformation at a global scale. If you are passionate about marketing science and advanced analytics, and want to lead innovation in a fast-paced environment, we encourage you to apply! Qualification : Masters or Ph.D. in Statistics, Economics, Industrial Engineering, Operations Research, Applied Math, or related quantitative fields.

Associate Analyst Location: Hyderabad, India (On-site) Function: Content Engineering Experience: 0-1 years About GlobalLogic GlobalLogic, a Hitachi Group Company, is a leading digital engineering partner working with some of the world s most innovative companies. Since 2000, we have been a key player in the digital revolution, delivering cutting-edge products and experiences. At GlobalLogic, you will join a culture that values caring, continuous learning, balance, and integrity. Role Overview We are looking for fresh graduates passionate about reading, writing, and content analysis to join us as Associate Analysts. This role involves working with written content by reading, interpreting, summarizing, and assisting with text-based tasks, making it a great opportunity for those with strong communication skills and attention to detail. Key Responsibilities Read and interpret written content with accuracy. Paraphrase and summarize information while retaining essential points. Identify patterns, trends, and insights from documents. Evaluate the quality and credibility of content. Prepare clear and concise written outputs. Complete tasks within set deadlines and quality standards. Collaborate with team members and leaders to achieve goals. Adapt to new processes, tasks, and feedback for continuous learning. Maintain professionalism and high attention to detail. Qualifications Graduate in any stream (preference for English, Journalism, or Humanities). Strong verbal and written communication skills. Good analytical and critical thinking abilities. Comfortable using basic computer tools (MS Word, Google Docs). Willingness to work in rotational shifts if required. Must be open to work from office in Hyderabad. Freshers are welcome. Inclusive and caring culture fostering acceptance and belonging. Continuous learning and development opportunities with diverse programs. Meaningful work on impactful projects that encourage creativity and problem-solving. Work-life balance with flexible arrangements and a fun work environment. High-trust organization emphasizing integrity and ethical conduct. Qualification : Graduate in any stream

Azure Data Engineer (Mid-Level) Hyderabad Location: Hyderabad, India Job Type: Full-Time | On-site/Hybrid Experience Level: 5+ Years Industry: Information Technology / Cloud Data Engineering Job Overview We are hiring an experienced Azure Data Engineer (Mid-Level) to join our team in Hyderabad. In this role, you will work closely with business stakeholders, analysts, and IT teams to design, implement, and manage scalable, high-performance data solutions on the Azure Cloud Platform. Your expertise in data modeling, ETL development, and cloud-based data warehousing will be critical in supporting data-driven decision-making across the organization. Key Responsibilities Analyze large datasets and deliver clear, actionable reports using statistical techniques. Design and implement data pipelines, data collection systems, and analytics strategies that enhance operational efficiency. Develop and maintain data systems, ensuring high data quality, consistency, and integrity. Collaborate with business stakeholders, analysts, and developers to translate business requirements into technical solutions. Design, build, and manage distributed data systems and applications on the Azure Cloud. Lead and execute ETL development, including data extraction, transformation, and loading using tools like Informatica or SSIS. Conduct technical design reviews, performance tuning, and testing of data workflows. Adapt to changing priorities and contribute as an individual contributor or team leader depending on project scope. Required Qualifications & Skills Bachelor s degree in Computer Science, Information Systems, or a related field. Minimum 5+ years of experience in data engineering, data analysis, or database design. Proficient in SQL and T-SQL for querying and managing relational databases. Hands-on experience with ETL frameworks such as Informatica or SSIS. Strong understanding of data modeling, data mining, and segmentation techniques. Experience working with structured and unstructured data sources. Proficient in statistical tools and packages (Excel, SSIS, SAS, etc.). Strong analytical mindset with excellent attention to detail and data accuracy. Preferred Skills (Good to Have) Experience with Python and Apache Spark for data manipulation and automation. Experience with modern data platforms: Azure Synapse Analytics Azure Databricks Amazon Redshift Prior experience in developing automation solutions using Python or similar scripting languages. Knowledge of Enterprise Data Warehousing (EDW) concepts and solutions. Competitive compensation package with benefits. Work with cutting-edge cloud technologies in real-world environments. Collaborative, fast-paced, and innovation-driven workplace. Career development support with continuous learning opportunities. A chance to make a tangible impact on enterprise-level data systems. Apply Now If you are a data-driven professional with a strong command of Azure and ETL tools, and you re looking to advance your career in data engineering, apply now and become part of a forward-thinking tech team based in Hyderabad! Qualification : Bachelors degree in Computer Science, Information Systems, or a related field.

Senior Data Scientist Location: Hyderabad, Telangana, India Employment Type: Full-Time Overview Microsoft Search powers delightful and relevant experiences for enterprise users, and AI-driven Copilots have turned futuristic visions into current-day reality. We are seeking candidates who can help build the next-generation machine learning systems to drive innovation in search ranking, clustering, recommendation systems, and much more. As a Senior Data Scientist in the team, you will work independently on complex problems, define success metrics, and contribute to design and review processes for machine learning/data pipelines across the team. If you're ready to tackle challenging data science problems and help shape the future of search, we want you on our team! Key Responsibilities End-to-End Ranking: Oversee the ranking of search results and contribute to enhancing search relevance. Large Language Models (LLMs): Work on developing and deploying large language models to improve search experience and AI-powered copilots. AI-powered Copilot Scenarios: Drive innovations in AI systems that enhance user productivity and engagement through Copilot capabilities. Compliance & Privacy: Develop machine learning training pipelines at scale that are privacy and compliance-aware. Personalization: Customize search results and recommend relevant content based on user preferences. Qualifications Required Qualifications: Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or a related field AND 2+ years of data science experience OR Master s Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or a related field AND 5+ years of data science experience OR Bachelor s Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 7+ years of data science experience. Experience working with both structured and unstructured data, applying statistical techniques, and reporting results. Hands-on experience with implementing and shipping production-quality machine learning models or data pipelines. 2+ years of customer-facing, project-delivery experience, professional services, and/or consulting experience. Strong programming skills in Python, R, or similar languages, and familiarity with machine learning libraries. Preferred Qualifications: Prior work or research experience in the Search domain is highly preferred. Familiarity with large-scale distributed systems, cloud platforms (such as Azure), and real-time machine learning applications. Experience with deep learning and large language models (LLMs). Familiarity with compliance and privacy in machine learning pipelines. Microsoft s mission is to empower every person and organization on the planet to achieve more. At Microsoft Search, you will be part of a team solving impactful problems for millions globally. Join us to drive cutting-edge advancements in AI and contribute to shaping the future of search and user experiences. Employee Benefits Industry-leading healthcare coverage Generous time off and family leave policies Access to educational resources and professional development Employee discounts on Microsoft products and services Opportunities for networking and global collaborations Inclusive and supportive work environment with a focus on work-life balance Microsoft is an equal opportunity employer. We are committed to creating a diverse and inclusive environment where every individual is treated with respect and can thrive. Join us to make a global impact through innovation, collaboration, and diversity.

Data Analyst/BI Developer Location: Hyderabad, India Company Overview Milestone Technologies is a global IT managed services firm that partners with organizations to scale their technology, infrastructure, and services to drive specific business outcomes, including digital transformation, innovation, and operational agility. With a culture focused on building an employee-first, performance-based environment, Milestone has a history of supporting category-defining enterprise clients. We provide solutions in Application Services and Consulting, Digital Product Engineering, Digital Workplace Services, Private Cloud Services, AI/Automation, and ServiceNow. For over 25 years, Milestone has been at the forefront of transforming the IT industry, applying best practices to deliver both short-term and long-term value to clients. By utilizing Intelligent Automation, we help businesses accelerate their IT transformation while improving operational efficiency. With a team of over 3,000 employees serving 200+ companies worldwide, we are committed to delivering innovation and improving productivity in business operations. Job Overview Milestone is seeking a talented and dynamic Data Analyst/BI Developer to join our team. This role involves developing and maintaining interactive dashboards and reports, optimizing SQL queries, and designing data models to support business needs. The ideal candidate will have a strong background in Tableau, SQL, and Power Apps, and will be responsible for transforming business requirements into technical solutions while ensuring data quality and integrity. Responsibilities: Develop and maintain interactive dashboards and reports using Tableau (strong experience required). Write and optimize SQL queries to extract, transform, and load (ETL) data from various sources. Design and implement data models and databases to support business needs. Work with cross-functional teams to understand business requirements and translate them into technical solutions. Create and manage Power Apps to automate workflows and improve business processes. Perform data validation to ensure data quality and integrity. Provide training and support to end-users on data tools and applications. Stay updated with the latest trends and best practices in data analytics and visualization. Qualifications: Bachelor's degree in Computer Science, Information Technology, Data Science, or a related field. 7+ years of proven experience with Tableau for data visualization. 5+ years of strong proficiency in MS SQL Server and experience with relational databases. 2+ years of experience with Power Apps for creating business applications. Excellent problem-solving skills and attention to detail. Strong communication and interpersonal skills. Ability to work independently and as part of a team. Experience with other data tools and technologies is a plus. At Milestone, we empower our employees to achieve their full potential in a collaborative and inclusive environment. As a Data Analyst/BI Developer, you will have the opportunity to work on innovative data solutions, enhance business decision-making, and drive meaningful change. Join us and be part of a dynamic team that is revolutionizing the way IT is deployed worldwide. Qualification : Bachelor's degree in Computer Science, Information Technology, Data Science, or a related field.

Job Description: Safety Officer Experience: 2+ Years Qualification: Diploma in Construction Safety, Diploma in Health & Safety Job Description: We are looking for a Safety Officer to ensure the safety and health of all personnel on site and in our workplace. The ideal candidate should have a minimum of 2 years of experience in safety management, specifically in construction or industrial environments, and be well-versed in safety standards and practices. Key Responsibilities: Toolbox Talks & Safety Training: Prepare and deliver Toolbox Talks to ensure the team is up-to-date on safety protocols. Organize and arrange safety training classes and workshops for employees, including first aid and fire safety training. Arrange monthly safety bulletin distributions to keep the team informed about the latest safety practices. Accident Reports & Statistics: Prepare monthly safety statistics to track accidents, incidents, and overall safety performance. Draft and maintain accident reports and analyze root causes to improve future safety measures. Safety Inspections & Equipment Checks: Conduct regular inspections of workplace safety equipment, such as fire extinguishers, and ensure they meet safety standards. Conduct routine safety inspections and ensure all safety regulations and compliance requirements are followed. Safety Competitions & Awareness Programs: Organize safety competitions such as quizzes, slogan competitions, and poster exhibitions to increase awareness and engagement among employees. Safety Documentation & Reporting: Maintain and update safety checklists to ensure compliance with all required safety procedures. Participate in management meetings to discuss safety performance, risks, and improvement strategies. Other Duties: Provide suggestions and improvements on health and safety measures in the workplace. Collaborate with various departments to ensure a safe working environment and compliance with health and safety regulations. Qualifications and Skills: Experience: Minimum 2 years of experience in safety management in construction or similar environments. Certifications: Diploma in Construction Safety and Diploma in Health & Safety are mandatory. Technical Skills: Ability to prepare and deliver toolbox talks and safety training programs. Skilled in preparing accident reports, safety statistics, and checklists. Strong knowledge of safety regulations and procedures in construction or industrial environments. Communication: Excellent communication and interpersonal skills to handle safety training, awareness programs, and safety meetings. Additional Skills: Ability to organize safety competitions, such as quizzes and poster competitions, to raise safety awareness among employees. Detail-oriented with strong organizational and planning skills to arrange and track safety activities and training. What We Offer: Competitive salary and benefits. A dynamic and collaborative work environment. Opportunities for professional development and growth in the field of safety management. Qualification : Diploma in Construction Safety and Diploma in Health & Safety are mandatory.

Job Description Responsibilities We have a fantastic opportunity for an experienced Data Analyst join our global Data Transformation team. This role will play a major part in the delivery of our Group Data Strategy and Data Transformation Journey by delivering, enhancing, and maintaining our IQEQ Data Platform which will drive how our data is managed and used to deliver outcomes in a host of key areas to maximise business value and growth delivering improvements for internal and external stakeholders and clients. In this role, you will drive requirements gathering and deliver appropriate solutions aligned with project goals. You will document functional designs, implement proper controls around business requests, and collaborate globally on Data Platform Data Services design initiatives. The role involves identifying and documenting system gaps and enhancements, working cross-functionally with IT teams to deliver high-quality solutions, and continuously seeking process improvements. Success requires quick adaptation to understand both client and internal stakeholder needs, ensuring efficient delivery of business requirements. Experience (what does the role do on a day-to-day basis) Experience of coding in programming languages such SQL (required), Python (required), Java and Excel VBA. Data analysis experience, database administration knowledge, data mining and manipulation. Proficient in MS Excel with a working knowledge of Excel VBA. Comfortable using APIs, SQL query writing, report development / BI tools (Crystal, SSRS, SSIS, Tableau). Experience of writing technical documentation and presenting information clearly to senior stakeholders. Knowledge of the funds industry and accounting knowledge beneficial. Working in global environment. Key behaviours we expect to see In addition to demonstrating our Group Values (Authentic, Bold, and Collaborative), the role holder will be expected to demonstrate the following: Communicates Effectively Adjusting communication style to fit the audience & message. Providing timely information to help others across the organisation. Encourages the open expression of diverse ideas and opinions Action Orientated Readily taking action on challenges without unnecessary planning and identifies new opportunities, taking ownership of them Interpersonal Savvy Relating comfortably with people across all levels, functions, cultures & geographies. Builds rapport in an open, friendly & accepting way An analytical mind, excellent problem-solving & diagnostic skills, attention to detail Qualifications Required Experience Education / professional qualifications Bachelor's degree in computer science or another technical field 8-10 years of experience in a Data Analyst capacity Background in Financial Industry preferable in the Alternative Asset management domain Experience with Investment management accounting system such as Investran, Paxus, Efront etc preferrable Background & Technical experience Knowledge of BI, Data and Analytics Knowledge of programming languages, SQL, Python, Knowledge of Excel Formulas Excellent analytical and numerical skills. Strong problem solving and conceptual thinking. Other company, product, and market knowledge Experience of working in a complex, multi-country professional services, financial services or BPO organisation with complex processing requirements Multi-country experience and demonstrates an ability to work in a multi-cultural, talented, and demanding team environment. Possess the skills and the personality to operate effectively in a very fast-paced complex global business with an in-depth knowledge of program management Excellent communication skills in both written and oral form, with staff members, customers, suppliers, and the management team with the ability to make decisions, act and get results Passion, dynamism, and drive Personal presence, integrity, and credibility Ability to solve problems either independently or by utilising other members of the team where necessary Strong analytical and troubleshooting skills. Ability to investigate and analyse information, and to draw conclusions. Ability to meet and adhere to internal and external deliverables whilst maintaining an exceptionally high standard. Languages Must be fully proficient in spoken and written English, additional European languages will be an asset Qualification : Bachelor's degree in computer science or another technical field

Job Title: Manager - Data Science Location: Hyderabad Department: Data Science Employment Type: Full-Time, Permanent Role Overview: As a Manager - Data Science at Blend, you won t just manage you'll lead by doing. This role demands strong hands-on expertise in Machine Learning (ML), Generative AI, Python, SQL, and any cloud environment (GCP, Azure, or AWS). You will stay deeply engaged in the technical side while mentoring and growing a high-performing team. You ll be responsible for leading end-to-end AI/ML project execution, collaborating with cross-functional teams, and driving innovation within Blend's Data Science practice. If you love solving complex problems, thrive in a fast-paced environment, and can translate business challenges into cutting-edge AI solutions, we d love to have you on board! Key Responsibilities: Delivery & Project Management: Lead the development and implementation of ML models, Generative AI solutions, and predictive analytics. Perform data mining, feature engineering, and statistical analysis to extract meaningful insights. Own project roadmaps, ensure quality control, and drive timely delivery of projects. Collaborate with Data Engineering teams to deploy and operationalize ML models. Automate and optimize workflows to enhance efficiency and streamline processes. Practice Development: Contribute to the scaling of Blend s Data Science practice by building new capabilities. Design industry-specific AI/ML solutions and contribute to thought leadership in AI/ML. Evaluate emerging AI trends and tools and integrate them into Blend s ecosystem. Lead innovation initiatives, research, and internal AI development. People & Leadership: Mentor and develop a high-performance data science team. Guide team members' career development and set performance benchmarks. Collaborate with cross-functional teams to ensure seamless execution of projects. Qualifications: Experience: 8+ years in Data Science & AI, with hands-on expertise in ML, Generative AI, Python, and SQL. Strong knowledge of ML algorithms (Classification, Regression, Forecasting, NLP, LLMs, Optimization, etc.). Proven experience in end-to-end ML deployment, including working with Azure, AWS, GCP, or Databricks. Industry Expertise: Demonstrated ability to solve complex business challenges in Retail, CPG, BFSI, Healthcare, or eCommerce. In-depth understanding of statistics, probability, stochastic processes, and causal inference. Excellent communication skills with the ability to explain AI concepts to non-technical stakeholders. Experience with big data tools such as Hadoop, Hive, PySpark, and ML pipelines. Bonus: Experience with Google Analytics, Adobe Analytics, or digital marketing analytics. Education: Bachelor s/Master s degree in Computer Science, Statistics, Math, Operations Research, or a related field. What You Get in Return: Competitive Salary: Your skills and contributions are highly valued, and we ensure your salary reflects your expertise and experience. Dynamic Career Growth: Our vibrant environment offers opportunities for rapid growth, providing the right tools, mentorship, and experiences to fast-track your career. Idea Tanks: Our Idea Tanks offer a space for you to pitch, experiment, and collaborate on ideas that can shape the future. Growth Chats: Engage in casual Growth Chats to learn from the best, whether it s over lunch or a laid-back session with peers. Snack Zone: Enjoy a variety of snacks to keep your energy high and ideas flowing. Recognition & Rewards: Expect regular Hive-Fives, shoutouts, and the chance to see your ideas come to life as part of our reward program. Fuel Your Growth Journey with Certifications: We support your growth by covering the cost of certifications to level up your skills. If you're ready to lead cutting-edge AI projects and grow within a dynamic team, Blend is the place for you. Apply today to be part of an innovative and collaborative culture! Qualification : Bachelors/Masters degree inComputer Science, Statistics, Math, Operations Research, or a related field.

Job Title: BI (Tableau) Developer Location: Hyderabad Department: Business Intelligence Employment Type: Full-Time, Permanent Role Overview: As a BI (Tableau) Developer, you'll turn raw data into compelling visual stories that help drive decision-making. You will collaborate closely with clients, create stunning dashboards, and lead end-to-end BI projects. If you're passionate about transforming data insights into actionable strategies and thrive in a dynamic, consulting-driven environment, this role is for you. Key Responsibilities: End-to-End BI Implementation: Manage the full BI lifecycle, including data modelling, report building, delivery, and post-implementation support. Create visually stunning Tableau dashboards and reports that provide business insights. Write efficient SQL queries to extract, transform, and analyze data for visualizations. Tableau Development: Design, develop, and maintain interactive Tableau dashboards that are both engaging and functional. Ensure data visualization best practices are followed, ensuring dashboards are intuitive and actionable. Business Knowledge & Collaboration: Work directly with clients to understand their business needs and translate them into impactful BI solutions. Provide data-driven insights that enable clients to make informed decisions. Cross-Tool Integration: Experience with other BI tools like Power BI or Qlik Sense is a plus, allowing for versatile solutions across platforms. Qualifications: Experience: 5+ years in Business Intelligence, specifically focusing on Tableau development and SQL. Strong understanding of data visualization best practices and BI architecture to ensure high-quality, actionable reports. Proven ability to implement BI solutions for complex business scenarios, driving real-world impact with data-driven insights. Ability to tackle challenges with a proactive, solutions-oriented mindset. A track record of delivering projects with enthusiasm and drive, even in fast-paced environments. Ability to mentor and collaborate, contributing to a positive and innovative team dynamic. Creative thinker: Always looking for new ways to leverage data to drive business strategies. Competitive Salary: Your skills and contributions are highly valued, and we ensure your salary reflects your expertise. Dynamic Career Growth: A vibrant environment that offers opportunities for rapid growth, mentorship, and development. Idea Tanks: A platform for you to pitch, experiment, and collaborate on ideas that shape the future. Growth Chats: Casual, insightful discussions with peers to foster learning and skill development. Snack Zone: A variety of snacks to keep your energy high and ideas flowing. Recognition & Rewards: Regular shoutouts and rewards for your great work, making your contributions celebrated. Fuel Your Growth Journey with Certifications: Blend supports your personal and professional growth by covering the cost of certifications. If you are passionate about Tableau, data visualization, and transforming data into insights, apply today to join an innovative, collaborative team at Blend!

If you're looking for a career that will help you stand out, join HSBC and fulfill your potential. Whether you want a career that could take you to the top, or simply take you in an exciting new direction, HSBC offers opportunities, support, and rewards that will take you further. HSBC is one of the largest banking and financial services organizations in the world, with operations in 64 countries and territories. We aim to be where the growth is, enabling businesses to thrive, economies to prosper, and ultimately helping people fulfill their hopes and realize their ambitions. We are currently seeking an experienced professional to join our team in the role of Consultant Specialist. Role: Consultant Specialist Key Responsibilities: Collaboration & Delivery: Collaborate with the Qualtrics Product Owner (HR Employee Listening), HR Technology, Agile Lead, and/or Scrum Master to deliver the Qualtrics product backlog. Capture, analyze, and document business processes to ensure alignment with business needs. Participate in the design of solutions to address business requirements and configure solutions using the Qualtrics platform. End-to-End Solution Delivery: Work with wider HR Tech teams to deliver end-to-end technical solutions, including integration and embedded surveys. Develop excellent platform knowledge through self-learning, training courses, and collaboration with professional services teams. Actively participate in the Qualtrics Pod, addressing system defects, delivering service requests, managing development changes, performing upgrades/patching, and proactively monitoring system health and performance. Testing & Compliance: Test configurations to ensure they meet requirements and quality standards. Align with HSBC development standards and best practices, including Agile delivery and Release Management controls. Write appropriate functional and technical documentation for all deliveries. Continuous Improvement: Identify opportunities for continuous improvement, focusing on user experience, security, quality, error detection, and performance enhancements. Requirements: To be successful in this role, you should meet the following criteria: Experience: Experience working with the Qualtrics platform or similar SaaS survey/employee experience technology. Background in data or statistical analysis. Proven success within a DevOps and Agile team environment. Experience in software development and/or application configuration. Experience working in a multi-cultural environment with the ability to adapt to different cultures. Experience of working in virtual, geographically dispersed locations and timezones. Technical Skills: Experience with core IT Service Management processes, including Incident Management, Problem Management, and Release Management. Experience of producing technical specifications and documentation. Knowledge of SaaS technology, APIs, and integration technology. Familiarity with the Qualtrics platform functionality, configuration, support resources, and roadmaps. Additional Skills: Strong analytical and problem-solving skills. Strong interpersonal and communication (oral and written) skills. Skilled in creative and lateral thinking. Excellent influencing, persuasion, and negotiation skills in workshops and presentations. Advanced skills in MS Excel, PowerPoint, Word, and Visio (or similar tools). At HSBC, you'll be part of a dynamic environment that fosters continuous professional development, offers flexible working options, and promotes a collaborative culture. Join us to be part of a global organization where your contributions will make a meaningful impact.

Scope: This role is responsible for client projects that involve route designing and the synthesis of molecules according to client specifications. The position will be carried out independently or through supervision of a team of chemists. Key Responsibilities: Reaction Setup & Execution: Set up and execute reactions for the synthesis of target molecules, ensuring proper reagents and equipment are used, maintaining specified conditions (e.g., temperature, pressure). Project Understanding & Deliverables: Understand the project requirements and deliverables as specified by the manager and client. Literature & Protocol Research: Understand reaction protocols and research literature as required for efficient synthesis. Team Management & Delegation: Efficiently delegate tasks and monitor team members for effective planning, execution, and delivery. Safety Compliance: Discuss and review MSDS (Material Safety Data Sheet) with the team to identify and mitigate potential safety risks with supervisor assistance. Analytical Monitoring: Monitor reactions and use analytical techniques to observe progress. Identify appropriate workup and purification methods to ensure desired compound quality. Reporting & Documentation: Analyze and interpret analytical data, and report synthesis results accurately. Prepare weekly, monthly, and final reports as required by the client. Project Management Support: Support project managers by helping finalize project estimations, identifying relevant literature, and proposing appropriate synthetic routes/reaction designs. Safety & Equipment Maintenance: Enforce good laboratory practices and ensure the maintenance of equipment, adhering to safety and quality systems. Team Development: Guide and mentor junior team members in organic chemistry techniques, analytical methods, and project execution. Regularly review performance and train team members. Functional/Technical Skills: Chemistry Knowledge: Expertise in organic chemistry (particularly synthesis) and analytical techniques. Safety Protocols: Strong understanding of safety standards in the laboratory environment. Data Integrity & Confidentiality: Knowledge of IP protection, data integrity, and confidentiality policies. Cost-Benefit Analysis: Ability to conduct cost-benefit analyses for resource optimization. Required Qualifications: Educational Requirements: MSc in Organic/Medicinal Chemistry with 1 5 years of relevant experience OR Ph.D. or Postdoctoral Fellowship in Organic/Medicinal Chemistry with 1 3 years of relevant experience. Additional Preferences: Candidates with research publications in leading journals will be given preference.

About the Team: S&P Global is a leading provider of Environmental, Social, and Governance (ESG) data for investors, corporates, and other stakeholders. Our ESG offerings create value by helping investors mitigate long-term risks and enabling corporations to enhance their long-term financial performance. The ESG team is responsible for collecting a broad range of ESG data from various company and governmental sources, delivering an in-depth, multi-faceted view into the resilience of companies against changes in ESG factors. The team manages one of the world s most comprehensive proprietary datasets on corporate sustainability, which is leveraged across various S&P Global divisions and products to support investors, asset managers, and corporate decision-makers. Responsibilities & Impact: Data Processing & Application: Process ESG-related financial and qualitative/quantitative data, ensuring accuracy and consistency in alignment with CSA guidance. Data Collection & Validation: Collect, standardize, and validate ESG data from a range of documents, including government and regulatory filings, corporate reports, and industry publications. ESG Research & Trends: Maintain a solid understanding of ESG concepts, research methodologies, and emerging trends. Stay updated on industry knowledge and reporting standards. Collaboration & Problem-Solving: Engage with ESG analysts to identify challenges, propose solutions, and support the team with troubleshooting issues. Process Improvement: Contribute ideas for new data collection methods and propose improvements to existing processes and product offerings related to ESG content sets. Global Collaboration: Work closely with various internal teams and stakeholders across regions, ensuring the data aligns with global interests and meets the diverse needs of S&P Global s business divisions and external clients. Data Integrity & Research Support: Utilize internal and external public research sources, such as government documents, CSR reports, stock exchanges, industry journals, and analyst reports, to collect, summarize, and synthesize meaningful ESG information. Sustainability Insights: As part of S&P s ESG team, help manage one of the world s leading sustainability indices and corporate sustainability benchmarking methodologies, driving innovation in ESG research and trends. What s in it for You: Growth & Development: Join a newly established, growing team and gain valuable insights into upcoming ESG trends. Work in a project-focused, international team with opportunities for advancement. Exposure to Best Practices: Gain hands-on experience with best-in-class ESG methodologies, working alongside like-minded professionals who are passionate about sustainability. Career Progression: Opportunities for personal and professional development, with a focus on enhancing your ESG knowledge and expanding your career within the field. What We re Looking For: Basic Qualifications & Skills: Educational Background: Bachelor s or Master s degree (or equivalent) in a related field; advanced degrees are welcomed. ESG Experience: A minimum of 2 years of professional experience in ESG data ratings, research, or corporate sustainability. Technical Skills: Proficiency in Microsoft Office (Word, Excel, PowerPoint). Familiarity with ESG data tools and platforms is a plus. Document Interpretation: Ability to interpret complex corporate documents, including articles, bylaws, prospectuses, annual reports, sustainability reports, and codes of conduct. Work Schedule Flexibility: Willingness to work in rotational shifts as required, with the ability to multitask and meet deadlines in a team environment. Skills & Qualities: Strong attention to detail and a persistent approach to work. Excellent research, analytical, and problem-solving skills. Clear written and oral communication skills, with the ability to present findings effectively. Initiative and resourcefulness, with an agile mindset to adapt to collaborative environments. Ability to manage multiple priorities simultaneously in a dynamic, fast-paced work environment. Qualification : Bachelors or Masters degree (or equivalent) in a related field; advanced degrees are welcomed.

About the Role: The Data Quality Measurement Team plays a pivotal role in ensuring the integrity, timeliness, and reliability of data used by various business units. The primary goal is to uphold high standards for data quality, ensuring that data is sufficiently accurate, reliable, and timely, in alignment with business or regulatory standards. The team is composed of highly skilled professionals who possess an in-depth understanding of business operations and strive to provide exceptional client experiences, while mitigating legal and regulatory risks for the organization. Key Responsibilities & Impact: Stakeholder Engagement: Collaborate with stakeholders to define requirements and usage needs for measuring data quality in a specific region or business unit. Data Quality Ownership: Take ownership of ongoing data quality measurement activities, focusing on specific regions or business areas to ensure high-quality data standards. Issue Identification & Remediation: Detect data quality issues, perform root cause analysis, and escalate issues for remediation to ensure data meets high-quality standards. Testing & Data Audits: Conduct testing on defined use cases for new technology and vendors. Deliver results and identify sources of errors in the data. Root Cause Analysis: Perform root cause analysis on smaller, self-contained data analysis tasks, often related to assigned or unfamiliar projects. Regulatory Compliance: Ensure compliance with regulatory requirements through data quality processes, particularly within the S&P Ratings division. Data Querying & Correction: Utilize data queries to identify and correct data inconsistencies, ensuring the accuracy and reliability of data. Functional and Business Knowledge: Data Development Lifecycle: Apply foundational knowledge of the data development lifecycle, tools, and theories to complete assignments efficiently. Business Understanding: Possess a basic understanding of business operations and data quality objectives within the team. Problem Solving: Data Issue Resolution: Identify and solve problems within the data domain, using analytical skills to propose clean, objective solutions. Technical Requirements Translation: Ability to analyze complex business problems and translate them into objective technical requirements with minimal business interaction. Passion for Innovation: Demonstrate a passion for problem-solving and the exploration of new technologies to improve data quality processes. Interactions: Internal Collaboration: Primarily work within the team but may also engage with related teams and stakeholders in the data domain to understand processes and procedures. Communication: Regularly communicate data quality updates within the team and to other relevant stakeholders. Typical Scope & Impact: Team Contribution: Contribute to the achievement of personal and team objectives, ensuring that data quality standards are met across the organization. Education & Experience Requirements: Minimum Qualifications: Bachelor s degree or equivalent experience required. 3-4 years of experience in a data operations role. Experience in data quality roles is a plus. Preferred Qualifications: Technical Skills: Experience with data visualization and analysis tools such as Advanced Excel, SQL, Oracle databases, Power BI, ETL, Python. Industry Knowledge: General understanding of financial and market data flows. Skills & Capabilities: Strong attention to detail and the ability to meet deadlines. Ability to effectively collaborate within a large, global team. Strong written and verbal communication skills. Analytical problem-solving skills with a willingness to ask questions and escalate unresolved concerns. Capable of holding others accountable for delivering key actions. About S&P Global Ratings: At S&P Global Ratings, we provide independent, analyst-driven credit ratings, research, and sustainable finance opinions that offer clarity and critical insights. Our high-quality credit assessments enable market participants to make confident decisions, uncover opportunities, and navigate complex economic landscapes. As part of S&P Global, we help organizations worldwide manage risk, plan for the future, and make data-driven decisions in the capital, commodity, and automotive markets. Qualification : Bachelors degree or equivalent experience required.

Job Description : As an experienced Biostatistician, you will lead research design and analytical strategies, provide input into protocols, develop and review statistical analysis plans and author/co-author reports, abstracts and manuscripts. You will use your knowledge to advise, provide guidance and to oversee the quality control of statistical deliverables. As the functional lead within a study team, you will direct the Biostatistical activities on a study and be accountable for the deliverables. Senior, Principal, and Senior Principle level Biostatisticians at Parexel are client-facing and play an integral part in the study team. Leverage your expertise. Develop complex analysis strategies and execute them using efficient programming techniques (software: SAS, R). Foster teamwork. Perform intricate statistical analyses and provide input to statistical reports. Share knowledge. Provide input to analysis plans, statistical reports, statistical sections of integrated clinical reports. Impact the process. Be a proactive advisor for all types of analysis from the proposal process through the project life cycle. Take quality seriously. Review analysis data sets and quality control all types of statistical analysis deliverables. Coach and mentor. Train and uplift junior members of the department. Job Qualifications: Experience: A minimum of 5 years industry (or directly relevant) experience ,A thorough understanding of the statistical aspects of either clinical trials and/or observational studies. Experience in statistical analysis in a clinically related subject, either within clinical trials or in Epidemiology. SAS programming or R programming skills (desired) Education: A Masters or Ph.D. level education in biostatistics, statistics, mathematics, or another relevant discipline. Skills: Confidence be self-reliant and a quick learner who enjoys working in a matrixed team. Good leadership skills. Strong oral and written English communication skills. The ability to travel as required, although this is not frequent. A strong work ethic to promote the development of life changing treatments for patients Qualification : A Masters or Ph.D. level education in biostatistics, statistics, mathematics, or another relevant discipline.

Key Accountabilities: Project Management: Ability to fill Statistical Programming Lead role on projects Input into and negotiate statistical programming timelines. Ensure that timelines are adhered to. Coordinate and lead a statistical programming team to successful completion of a study within given timelines and budget. Monitor project resourcing, project budgets, and identify changes in scope. Coordinate project start-up activities, creation of global programs, tracking spreadsheets, and other required documentation. Review statistical analysis plans and mock-shells. Review database set-up specifications. Interact with sponsors and internal stakeholders with regard to statistical programming issues. Assist project teams in the resolution of problems encountered in the conduct of their daily work. Statistical Programming for Assigned Projects: Deliver best value and high quality service. Check own work in an ongoing way to ensure first-time quality. Use efficient programming techniques to produce/QC derived datasets (e.g. SDTM, ADaM), tables, figures, and data listings. Produce/QC dataset specifications and other process supporting documents and submission documentation. Ensure quality control (QC) is performed on all process and technical activities related to derived dataset, table, data listing, and figure programming in accordance with corporate quality standards, SOPs/Guidelines, ICH-GCP, and/or other international regulatory requirements. Training: Maintain and expand local and international regulatory knowledge within the clinical industry. Develop knowledge of SAS and processes/procedures within other PAREXEL functional areas. Provide relevant training and mentorship to staff and project teams. General: Maintain all supporting documentation for studies in accordance with SOPs/Guidelines to ensure traceability and regulatory compliance. Ensure compliance with SOPs/Guidelines, ICH-GCP, and any other applicable local and international regulations, and participate in internal/external audits and regulatory inspections as required. Proactively participate in and/or lead process/quality improvement initiatives. Provide consultancy to internal and external sponsors with regard to statistical programming tasks. Represent PAREXEL at sponsor marketing and technical meetings. Understand regulatory requirements concerning industry technical standards(e.g. CDISC, 21 CFR Part 11, and electronic submissions). Skills: Excellent analytical skills. Proficiency in SAS. Extensive knowledge and understanding of the programming and reporting process. Knowledge of SOPs/Guidelines, ICH-GCP, and any other applicable local and international regulations such as 21 CFR Part 11. Ability to learn new systems and function in an evolving technical environment. Strong project management skills. Strong organizational skills, ability to manage competing priorities, and flexibility to change. Attention to detail. Ability to successfully lead a global team. Work effectively in a quality-focused environment. Effective time management in order to meet daily metrics or team objectives. Show commitment to and perform consistently high quality work. Business/operational skills that include customer focus, commitment to quality management, and problem solving. Demonstrate commitment to refine quality processes. Good presentation skills. Good business awareness/business development skills (including financial awareness). Knowledge and Experience: Competent in written and oral English. Excellent communication skills. Education: Educated to degree level in a relevant discipline and/or equivalent work experience. Qualification : Educated to degree level in a relevant discipline and/or equivalent work experience.

Key Accountabilities: Project Management: Assist in the coordination of project start-up activities, creation of global programs, tracking spreadsheets, and other required documentation. Statistical Programming for Assigned Projects: Deliver best value and high quality service. Check own work in an ongoing way to ensure first-time quality. Use efficient programming techniques to produce derived datasets (e.g. SDTM, ADaM), tables, figures, and data listings of any complexity and QC low-medium complexity derived datasets, tables, figures, and data listings. Assist in the production/QC of derived dataset specifications and other process supporting documents and submission documentation. Training: Maintain and expand local and international regulatory knowledge within the clinical industry. Develop knowledge of SAS and processes/procedures within other PAREXEL functional areas. Provide relevant training and mentorship to staff and project teams as appropriate. General: Maintain all supporting documentation for studies in accordance with SOPs/Guidelines to ensure traceability and regulatory compliance. Ensure compliance with SOPs/Guidelines, ICH-GCP, and any other applicable local and international regulations, and participate in internal/external audits and regulatory inspections as required. Proactively participate in process/quality improvement initiatives. Understand regulatory requirements concerning industry technical standards (e.g. CDISC, 21 CFR Part 11, and electronic submissions). Skills: Excellent analytical skills. Proficiency in SAS. Knowledge and understanding of the programming and reporting process. Knowledge of SOPs/Guidelines, ICH-GCP, and any other applicable local and international regulations such as 21 CFR Part 11. Ability to learn new systems and function in an evolving technical environment. Ability to manage competing priorities and flexibility to change. Attention to detail. Ability to successfully work as part of a global team. Work effectively in a quality-focused environment. Effective time management in order to meet daily metrics or team objectives. Show commitment to and perform consistently high quality work. Business/operational skills that include customer focus, commitment to quality management, and problem solving. Knowledge and Experience: Competent in written and oral English. Good communication skills. Education: Educated to degree level in a relevant discipline and/or equivalent work experience. Qualification : Educated to degree level in a relevant discipline and/or equivalent work experience.

Role:Principal Statistical Modeler - Big Data Location: Hyderabad About the job Our Hubs are a crucial part of how we innovate, improving performance across every Sanofi department and providing a springboard for the amazing work we do. Build a career and you can be part of transforming our business while helping to change millions of lives. Ready? As a Clinical Moder - Big Data Machine Learning within our Clinical Modeling and Evidence Integration team / Hyderabad, you will develop and implement data cohort creation, data insights and predictive or machine learning models with Big Data (such as large observational study results, electronic health records, Real World Evidence studies) to generate clinical development relevant insights and decision supports. Main responsibilities: Create the cohorts of interest from the big data sources (i.e. electronic health records). Provides data visualization and summaries reports. Develop or implement clinical machine learning models to bridge RWE and clinical inference. Collaborate with cross-functional teams to address scientific questions with integrated RWE and clinical insights. Assist and may work under the direction of clinical modelers. About you Experience: 3 Years of experience in Machine Learning if no PhD Machine learning skills. Experience/Knowledge in Causal inference methods is a plus. Excellent Python and/or R programming skills are required. Experience in tidymodels framework is a plus. Experience using version control systems (eg, Git, GitHub). Soft and technical skills: Good interpersonal and communication skills Good understanding of statistical concepts. Some knowledge about clinical development is a plus. Education: PhD preferred (or MS + 3 Years of experience) in statistics, Machine Learning, Data Science, mathematics or other related disciplines Languages: R, Python, Julia. SAS is a plus Qualification : PhD preferred (or MS + 3 Years of experience) in statistics, Machine Learning, Data Science, mathematics or other related disciplines

Job title: Senior Analyst Forecasting & Analytics Location: Hyderabad About the job Sanofi Global Hub (SGH) is an internal Sanofi resource organization based in India and is setup tocentralize processes and activities to support Specialty Care, Vaccines, General Medicines, CHC, CMO, andR&D, Data & Digital functions . SGH strives to be a strategic and functional partner for tactical deliveries to Medical, HEVA, andCommercial organizations in Sanofi, globally. Our Hubs are a crucial part of how we innovate, improving performance across every Sanofi department and providing a springboard for the amazing work we do. Build a career and you can be part of transforming our business while helping to change millions of lives. At our Sanofi we are leveraging analytics and technology, on behalf of patients around the world. We are seeking those who have a passion for using data, analytics, and insights to drive decision making that will allow us to tackle some of the world s greatest health threats. Within our commercial Insights, Analytics, and Data organization we are transforming to better power decision-making across our end-to-end commercialization process, from business development to late lifecycle management. Forecasting and analytics deliverables support planning and decision making across multiple functional areas such as finance, manufacturing, product development and commercial. In addition to ensuring high-quality deliverables, our team drives synergies across the franchise, fosters innovation and best practices, and creates solutions to bring speed, scale and shareability to our planning processes. As we endeavour, we are seeking a dynamic talent for the role of Senior Analyst Forecasting & Analytics It is essential to have someone who understands and aspires to implement innovative analytics techniques to drive our insights generation across different functions. Job Summary Main Responsibilities: People: Maintain effective relationship with the stakeholders (Country & Cross border Teams) within or cross GBUs and tasks with an end objective to develop educational and communication content as per requirement. Actively lead and develop SGH operations associates and ensure innovative technologies are leveraged. Initiate the contracting process and related documents within defined timelines; and Collaborate with global stakeholders for project planning and setting up the timelines and maintaining budget. Performance:Support forecasting activities (pre and post forecasting), including updating TM1 PAFE (excel based) models, testing data push to TM1. Creating complex TM1 Planning analytics reports Quick, Dynamic, and customized. Test and validate report working in TM1 web. Largely working on creating/updating TM1/Planning analytics views, using MDX to create subsets for views, working with Production support to create ad hoc Turbo integrator processes, Writing business rules. Define and evaluate reporting and analytics needs at the individual country level or market level while enhancing solutions. Design TM1 dimensions, attributes, aliases, cubes for new markets/products additions and ready to launch products thus evolving the existing TM1 application. Oversee monthly actuals load process, validate the data. Work with production team to deploy solutions. Integrate new data sources with TM1. Streamline and optimize forecasting collection and submission process. Refresh Existing Reports and identifies improvement opportunities in reporting and BI tools and as needed structure / functionality with the latest insights as they become available. Collaborate with Digital teams to enhance data access across various sources, develop tools, technology, and process to constantly improve quality and productivity. Create robust forecast models and dashboards taking into consideration key data, insights, trends, and assumptions around patient flow, market dynamics, competitive landscape, payer mix, supply chain inventory fluctuation, etc. Evaluate and maintain existing forecast models; identify and prioritize areas for improvement to iteratively improve function over time. Refresh forecast model assumptions and as needed structure / functionality with the latest insights as they become available. Process:Identify and interpret business needs, analyse, and prioritize the requirements, write functional specifications, design, and analyse data, identify gaps, and provide business requirements and expectations feedback. Support delivery of projects in terms of resourcing, coordination, quality, timeliness, efficiency, and high technical standards for deliveries made by the business teams. Secure adherence to compliance procedures and internal/operational risk controls in accordance with all applicable standards Refresh report on frequency/cycle basis (weekly/monthly/quarterly/annually), along with QC checks for each refresh Use latest tools/technologies/methodologies and partner with internal teams to provide support on all sort of regular and ad hoc business analytics activities like build, maintenance, and enhancements of such systems. Ability to work cross-functionally, gather requirements, analyse data, and generate insights and reports that can be used by the GBU. Support delivery of projects in terms of resourcing, coordination, quality, timeliness, efficiency, and high technical standards for deliveries made by the business teams. Stakeholder:Work closely with global teams and/ external vendors to ensure the end-to-end effective project delivery of the designated deliverables. About you Experience: 4+ years of experience in pharmaceutical product commercial forecasting and analytics. In-depth knowledge of common databases like IQVIA, APLD, Engagement and execution data. Soft Skill & Technical Skills: Strong learning agility; Ability to manage ambiguous environments, and to adapt to changing needs of the business; Good interpersonal and communication skills; strong presentation skills a must; Team pla...

Position Title: Research Analyst Inside Sales Location: Hyderabad (On-site) Department: Inside Sales Experience Required: 1 3 Years Employment Type: Full-Time Company: GSPANN Technologies Job Description: GSPANN is hiring a Research Analyst to support our Inside Sales team with high-impact lead research and data analysis. This role is ideal for analytical professionals who enjoy identifying market trends, building quality prospect lists, and enabling data-driven sales decisions using modern research tools and CRM systems. Roles and Responsibilities: Design and execute research methodologies to support sales prospecting and lead generation strategies. Conduct company and contact research using platforms like LinkedIn Sales Navigator and ZoomInfo. Use CRM tools (such as HubSpot or Salesforce) to manage and track leads, campaigns, and pipeline data. Analyze large datasets in Microsoft Excel, using VLOOKUP, pivot tables, and filters to extract actionable insights. Prepare and deliver clear and engaging research reports and dashboards for internal stakeholders. Collaborate with inside sales, marketing, and business development teams to support outreach and campaign planning. Monitor industry trends, key business signals, and decision-makers across target accounts. Ensure adherence to data privacy regulations (e.g., GDPR) and maintain high standards of confidentiality. Skills and Experience: 1 3 years of experience in a research, sales support, or data analysis role, preferably in a B2B or IT services environment. Hands-on experience with LinkedIn Sales Navigator and ZoomInfo for lead generation. Working knowledge of CRM systems such as HubSpot, Salesforce, or similar platforms. Strong Excel skills must be comfortable with pivot tables, VLOOKUP, conditional formatting, and large dataset handling. Excellent written and verbal communication skills, with the ability to convey analytical findings clearly. A curious mindset with strong attention to detail and a commitment to data accuracy. Ability to work independently and as part of a cross-functional team. Preferred Qualifications: Bachelor s degree in Business, Marketing, Data Science, or a related field. Familiarity with sales performance metrics and lead scoring techniques. Basic understanding of email marketing or sales outreach automation tools is a plus. Be part of a fast-growing organization at the intersection of data, technology, and strategy. Learn from and collaborate with seasoned sales, marketing, and analytics professionals. Work in a culture that values curiosity, ownership, and continuous learning. Gain exposure to the latest tools and techniques in sales enablement and data-driven decision-making.