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Senior Data Analyst (Atlanta, GA)

Senior Data Analyst (Atlanta, GA)

Location: Atlanta, GA | 120K – 140K Base + Bonus + Benefits Package

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We are currently recruiting for a Senior Data Analyst with insurance industry experience to join a growing data team in Atlanta, GA (Hybrid schedule – Dunwoody / Sandy Springs area). The Senior Data Analyst will help leverage data as a strategic asset to commercial business insurance products. For this role all candidates must have a strong background in value-driven data development and usage utilizing data analytics and intelligence technologies. The Senior Data Analyst will be responsible for designing, developing, and maintaining data products and solutions that support business intelligence, analytics, and reporting needs with the aim of making data available and intelligible for all users.  You will also collaborate with business stakeholders, product owners, data engineers, and analysts to understand data requirements, define data models, ensure data quality and consistency, and take ownership of the effective use of analytics and intelligence data by business professionals and stakeholders. 120K – 140K Base + Bonus + Benefits Package

Responsibilities:

  • Partner with stakeholders to understand business requirements and derive technical requirements to support development, documentation, and implementation of the data solution design
  • Perform effective problem solving with business experts, management, and team members to solve complex business issues from strategy to execution
  • Work with the leadership team, stakeholders, and product owner to plan for new projects (solution design, infrastructure planning, estimation)
  • Create and maintain data models, including self-service capabilities, that align with business objectives and data as a product vision, making definitions and usability clear and accessible by users
  • Perform data analysis and validation to ensure data accuracy and integrity
  • Establish, maintain, and promote consistent development methodology
  • Contribute to design sessions and conduct code and/or release reviews
  • Codify knowledge and expand the knowledge repository within the team
  • Coach, mentor and reinforce the team in the operating model and data domain
  • Conduct quality control and record-keeping procedures to ensure the highest levels of data integrity
  • Identify areas to simplify, reuse code and fix technical debts (performance tuning)
  • Manage technical challenges during execution and communicate any risks or issues to management

Requirements:

  • Bachelors degree in Computer Science, Information Systems, or related field
  • 5+ years of work experience in data warehousing, data modeling, and/or data engineering
  • Deep knowledge and experience in data management, integration, and analytics architecture
  • Strong Insurance domain skills with experience in problem solving and demonstrated ability to implement and deliver industry specific solutions
  • Strong knowledge of data warehousing and data lakehouse concepts, architectures, and methodologies
  • Proficient in data modeling tools and techniques
  • Experience with data as a product and business intelligence concepts, such as data governance, data quality, data lineage, data catalog, data visualization, and data storytelling
  • Expertise in self-service analytics and visualization capabilities utilizing tools such as Power BI
  • Working knowledge of data integration tools and frameworks, such as ETL, ELT, API, or streaming
  • Familiarity with data structures and formats, such as relational, non-relational, JSON, XML, etc.
  • Knowledge of scripting languages – Power shell script, Javascript, Python, R, web-services, etc.
  • Effective written and verbal communication skills with both technical and non-technical audiences
  • Experience with Agile frameworks and methodologies is highly desirable

No sponsorship. Local candidates only. Must be in a commutable range to Dunwoody / Sandy Springs area. 20K – 140K Base + Bonus + Benefits Package. To apply email resume to porecchio@bellwetherstaffing.com