SAP Jobs in Thane

Job Title: MIS Manager Location: Thane Position Summary We are seeking an experienced MIS Manager to oversee the management and analysis of critical data, focusing on reporting, performance metrics, and project management. This individual will be responsible for generating key reports, coordinating with various teams, and improving operational efficiency through data-driven insights. Key Responsibilities Reporting & Analysis: Develop and drive the agenda for reporting, ensuring timely and accurate delivery of data to senior management. Perform data analysis to generate periodic reports, providing insights into operational performance. Create yearly reports demonstrating customer feedback (VOC - Voice of Customer), showcasing promoter and detractor scores, and identifying areas for improvement. Prepare and share daily, weekly, and monthly dashboards containing key performance indicators (KPIs) such as SLA, OLA, AHT, Shrinkage, Absenteeism, Productivity, Occupancy, CSAT, etc. Financial & Invoicing: Work on financial data, preparing detailed invoice reports for clients and internal processes. Lead weekly and monthly invoice calls with clients and senior management to discuss and resolve issues. Performance & Productivity Management: Analyze operational performance data to identify trends, opportunities for improvement, and high vs. low performance. Collaborate with the operations team to share actionable insights and boost productivity. Develop and manage MBR/WBR/QBR (Monthly/Weekly/Quarterly Business Review) presentations and calls to showcase overall performance and action plans. Capacity Planning & Coordination: Support capacity planning efforts by conducting weekly calls with operations, training, and recruitment teams to align on resource needs and improvements. Coordinate with various teams and clients on new requirements and ensure that necessary adjustments are made in reporting. Team Management & Supervision: Lead and supervise the MIS team, ensuring efficient work practices and timely delivery of reports. Motivate the team to work collectively towards organizational goals, improving reporting accuracy and efficiency. Ensure proper training for the team, implementing the maker-checker process to guarantee accuracy in reports. Process Improvement & Automation: Automate reports using advanced formulas and tools to improve efficiency and reduce time spent on manual tasks. Prepare and maintain SOPs for all reporting functions and ensure team adherence. Work on continuous improvements to make sure reporting is streamlined and effective. Compliance & Security: Ensure compliance with relevant data regulations and policies. Work to maintain data security and confidentiality while handling sensitive information. Qualifications Proven experience in MIS management and data analysis, with 6+ years of relevant experience. Strong proficiency in data analysis and reporting tools, including advanced Excel and formulas. Experience in preparing and presenting performance reports to senior management and clients. Familiarity with operational KPIs and performance metrics. Strong leadership and team management skills, with the ability to motivate and guide a team towards success. Knowledge of capacity planning, performance improvement strategies, and financial reporting. Ability to automate reports and optimize processes. Excellent communication skills, both written and verbal. Bachelor s degree in a relevant field; additional qualifications in project management or data analysis are a plus. Qualification : Bachelors degree in a relevant field; additional qualifications in project management or data analysis are a plus.

Job Title: Statistical Programmer Key Responsibilities: Develop SAS programs to generate derived analysis datasets and produce content for tables, listings, and figures (TLFs). Validate programming outputs to ensure the quality and accuracy of analysis datasets. Provide programming support to project teams by developing programming strategies, standards, specifications, and executing programmed analysis. Assist in the preparation and review of electronic submissions. Review key planning documents (e.g., statistical analysis plan, data presentation plan, data review plan) to ensure alignment with project objectives and clarity in programming assumptions and requirements. Assess the impact of these documents on programming tasks. Collaborate with vendors to establish project standards, programming conventions, and manage programming specifications and file transfers. Lead the effort to ensure the quality of Global Biometric and Data Sciences (GBDS) deliverables, applying standards consistently and adhering to regulatory guidelines, corporate SOPs, and departmental work practices. Identify opportunities for enhancing efficiency and consistency within GBDS and improve interactions with strategic vendors. Independently manage and perform programming tasks with minimal supervision. Contribute to continuous improvement initiatives to optimize workflows and outputs. Minimum Qualifications: Bachelor s degree in Statistics, Biostatistics, Mathematics, Computer Science, Life Sciences, or a related field. At least 3 years of programming experience in a relevant industry. For US-based positions, US military experience will be considered as part of industry experience. Proficiency in using SAS, R, or other programming languages to create derived analysis datasets and TFLs. Strong understanding of clinical data structures (e.g., CDISC standards) and relational databases. Proficiency in software tools such as MS Office and XML. Experience in handling and processing upstream clinical data (e.g., multiple data forms, eDC, SDTM). Ability to produce outputs that meet downstream requirements (e.g., ADaM, Data Definition Table, e-submission). In-depth knowledge of regulatory, industry, and technology standards and requirements. Familiarity with statistical terminology, clinical tests, medical terminology, and protocol designs. Demonstrated ability to collaborate within a team environment alongside clinical team members. Preferred Qualifications: A minimum of 3 years of experience in clinical/statistical programming within pharmaceutical clinical development. Knowledge of the drug development process, clinical trial methodology, and familiarity with global regulatory requirements. Experience using other software packages (e.g., R). Familiarity with the Linux operating system. Qualification : Bachelors degree in Statistics, Biostatistics, Mathematics, Computer Science, Life Sciences, or a related field.