Data Analyst
3 days ago
**Role Summary**:
**Primary Responsibilities**:
- Develop business intelligence reporting including historical data trend analysis and visualizations that identify business improvement opportunities
- Partner with business areas to define critical reporting needs and provide guidance regarding the availability of data and set expectations around delivery of results
- Work with IT stakeholders in establishing access to data sources, obtaining definitions of data sets and ensuring the reliability and accuracy of information
- Assists with implementation of relevant data into database and resolves any data quality issues by working with team members and stakeholders to identify root causes of and solve data concerns.
- Design and execute data extract/transform/load (ETL) scripts and environment migrations
- Create and maintain best-data-modeling-practices-based Analysis Services to meet analytics requirements
- Create Ad-hoc analyses that span multiple databases of potentially mixed levels of normalization and “cleanliness”
- Provide support for development and infrastructure issues surrounding the availability of reporting platforms
- Prioritize the development, maintenance and support of multiple projects simultaneously
- Assist with special projects, data maintenance, and other day-to-day tasks in support of the overall Business Intelligence platform
- Analyze data and present results to both technical and non-technical audiences
- Effectively manage workload by prioritizing ad-hoc requests, development efforts and analysis
**Job Requirements**:
- 4-6 years of experience with Data Analytics
- Highly proficient in SQL
- Experience working with Data Warehousing, Reports and Dashboards
- Knowledge of Dimensional and relational modelling techniques
- Good Analytical and Execution ability
- Knowledge in Healthcare or Insurance Industry preferred but not required
- Very organized with high-level attention to details
- Good interpersonal skills and ability to work under challenging circumstances
- Experience with SSIS, SSAS, SSRS, dimensional models / star schema, and Power BI preferred.
- Knowledge of Python and R is a plus.
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