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Data Analyst


Pay55.00 / hour
LocationRemote
Employment typeFull-Time

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  • Job Description

      Req#: 33184
      Title - Data Analyst
      Location - Complete Remote (USA)
      Duration - 6 Months + possible extension

      Must have skills : SQL (Strong), Business Analyst mindset, Strong Communication skills, SQL Server
      Good to have skills: Python (Capable)


      Job Description :
      • 10+ 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.
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