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Data Analyst/ Sr Data Analyst

Salary undisclosed

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Job Title: Data Analyst

Location: Remote

Duration: 6 Months + possible extension

Must have skills : SQL (Strong)

Good to have skills: Python (Capable), SQL Server

Job Description :

  • 8+ years experience in the data & analytics space Good communication skills.
  • Ability to articulate findings and challenges found in analysis and during SQL Development.
  • Ability to listen attentively to capture notes and feedback during requirements sessions, requirements Gathering & Business Acumen.
  • Experience collecting requirements from business stakeholders and translating into technical data requirements.
  • Ability to relate and understand how data supports business objectives and strategy.
  • Experience with building data analyst consumer facing data structures (tables, views, small data marts) Strong data analysis skills.
  • Experience with exploratory data analysis with new datasets.
  • Foundational descriptive statistics experience (e.g., mean, median, mode, standard deviation, skewness)
  • Experience with unit testing developed tables and views.
  • Experience with identifying and resolving data quality issues.

Technical Skills:

  • Strong general SQL experience & fluency CTEs, Window Functions, Joins, Group By, Where, Having, Stored Procedures / UDFs DDL/DML to create/alter/insert/delete tables and views.
  • AWS Cloud Data Analyst Experience Athena, S3, Glue, EMR Studio (for Jupyter Notebooks).
  • Foundational Data Modeling Knowledge & Concepts Star & Snowflake schema structures.
  • Slowly changing dimensions Normalization & Denormalization Data Warehouse / Data Lake / Data Lakehouse concepts.
  • Basic Python Experience Pandas, NumPy, SQL Alchemy, Requests (for API Requests).
  • Basic Spark Experience & Concepts Comfort with Spark SQL and using Spark data frames.
  • Foundational experience with creating and updating YAML-based configuration files.
  • Experience working in Jupyter Notebooks with SQL, Python, Spark SQL, Foundational API.
  • Experience Understanding of pagination and cursor concepts for retrieving multiple responses.
  • Experience using a tool like Postman, Curl statements, and/or the Python requests libraries to write requests (GET/POST) to retrieve and interpret sample payloads from APIs Basic Power BI. Experience Connecting to basic data sources (SQL Server, Snowflake, and ) Developing basic dashboard visualizations Connecting different data sources in the Power BI data model interface.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
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