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.
