Data Analyst Job in Dpdzero

Job Description: We are seeking a talented and experienced Data Analyst to join our team at DPDzero. As a Data Analyst, you will play a key role in consolidating and analyzing large and complex datasets to generate actionable insights and solutions for our client services and product enhancement. Your expertise in data analysis, programming, and problem-solving will contribute to the success of our products and services. Responsibilities: Interact with product and service teams to identify questions and issues for data analysis and experiments. Develop and implement software programs, algorithms, and automated processes to cleanse, integrate, and evaluate large datasets from multiple disparate sources. Identify meaningful insights and patterns from large data and metadata sources using statistical and data mining techniques. Interpret and communicate insights and findings from analysis and experiments to internal and external stakeholders, including product managers, service teams, and business managers. Understand the business needs and propose innovative ideas to address them using data analysis and visualization techniques. Stay updated with cutting-edge techniques and advancements in the field of data analytics and apply them to enhance our products and services. Collaborate with cross-functional teams, including data scientists, engineers, and business stakeholders, to drive data-driven decision making and ensure data integrity and quality. Adhere to data standards, security protocols, and company policies and procedures while handling and analyzing data. Qualifications: Bachelor s degree in Analytics, Data Science, Mathematics/Statistics, Computer Science, or a related field. 2-4 years of experience as a Data Analyst, preferably in the fintech or financial services industry. Superior communication and storytelling skills with the ability to present complex data insights in a clear and concise manner. Strong team player with excellent interpersonal skills, able to collaborate effectively with cross-functional teams. Proficiency in programming, preferably with Python, for data analysis and manipulation tasks. Familiarity with data analytics tools such as Tableau, Power BI, Excel, Metabase, Kibana, or similar. Understanding of data management principles, including data collection, analysis, reporting, and database management. Knowledge of statistical analysis techniques and data mining methodologies. Strong problem-solving and critical-thinking abilities, with a focus on generating actionable insights from data. Ability to work independently, manage multiple projects simultaneously, and meet deadlines in a fast-paced environment.