Senior Data Analyst

As a member of the Data and Analytics team, the Sr. Data Analyst role will contribute to the success in both the daily operations and long-term strategy of the organization’s data assets.

The optimal candidate brings a business-centric mindset to data analysis efforts and has a track record of being a growth enabler.

Job Responsibilities :

• Performing analysis to assess the quality and meaning of data.
• Filter Data by reviewing reports and performance indicators to identify and correct code problems.
• Identify, Analyze, and Interpret patterns and trends in data sets could be helpful for the diagnosis and correction.
• Develop data quality monitoring practice scope and capabilities.
• Assist in the design of processes and systems to monitor data quality, ensuring production data is always accurate and available for key stakeholders and business processes that depend on it.
• Working with programmers, engineers, and management heads to identify process improvement opportunities, propose system modifications, and devise data governance strategies.
• Building Power BI reports for the management stating trends, patterns, and predictions using relevant data.
• Collaborate with data engineers and business teams to improve data models that feed Power BI and increase data accessibility.
• Actively seek out and generate new and innovative ways to retrieve, visualize and analyze data across a variety of operational, geological, and financial data sources
• Working with data engineers and various business users to identify process improvement opportunities and propose system modifications.
• Lead business requirement sessions with stakeholders eliciting clear and comprehensive requirements for system features and enhancements.
• Take lead in Data Cataloging, Lineage, Security and Controls for entire data marketplace.
• Develop and execute SQL scripts to test data conversions and perform ad-hoc analysis.
• Preparing final analysis reports for the stakeholders to understand the data-analysis steps, enabling them to take important decisions based on various facts and trends.
• Gain Domain Knowledge and conduct end user training.
• Removing corrupted data and fixing coding errors and related problems
• Identify, address and document areas for process improvement and automation in our data flows.

Qualifications / Skills :

• Mastery in converting raw data into valuable datasets.
• Excellent prioritization skills
• Excellent problem solving and troubleshooting skills.
• Process oriented with great documentation skills.
• Financial industry exposure would be nice to have since this would really help when talking to our business stakeholders.
• Excellent oral and written communication skills with a keen sense of customer service

Education / Experience :

• BS or MS degree in Computer Science or a related field
• 8+ years of data analysis experience and strong experience writing complex queries.
• 4+ years of data management experience
• 3+ years of experience in Azure environment.
• 2+ years of experience in Enterprise Data Governance

Required Experience :

• Experience in gathering data / reporting requirements from business stakeholders.
• Adept at queries, building reports, and making presentations.
• Verbal and Written Communication skills.
• Ability to communicate ideas in both business and technical terms.
• Must be comfortable delivering on multiple priorities concurrently.
• Must have experience with relational design database design, including creating, modifying tables, views and indexes, stored procedures, functions and triggers.
• Understand software development life cycle.
• Must be proactive, flexible and exhibit the ability to learn quickly.
• Keen eye to identify problems, ideate potential solutions, and ultimately resolve problems.

Nice to have :

• Experience in automotive and Insurance sector is a plus.
• Cloud certification on any platform a plus.
1 day ago