Data Analyst

Depends on Experience

Contract: W2, 6 Month(s)


    SQLETLCommunication skillsData warehouseData miningBig dataMicrosoft Power BIOracle

    Job Description

    What you will need:

    • · At least 3-7 years of hands-on data experience
    • · Demonstrated track record of successful consulting engagement experience, including a role in managing and interfacing with senior level client executives
    • · Solid interpersonal and communication skills (written and verbal) to technical and non-technical audience of wide variety of levels including client-facing senior management?
    • Strong experience with Data Visualization tools: Power BI
    • · Experience with wide array of analytical approaches (correlation analysis, predictive and explanatory modeling, data mining, unsupervised clustering, analysis of unstructured data)
    • · Solid SQL skills – via exposure to RDBMSs such as Amazon Redshift, Google Cloud BigQuery, SQL Server, Oracle, Teradata, postgres, etc.
    • · Familiarity with cloud technologies – Data warehouse (BigQuery, RedShift) / cloud storage (GS, S3) / app engine (Google Cloud Platform App Engine, AWS Elastic Beanstalk)
    • · Experience with "Big Data" environments
    • · Working knowledge of data movement ETL technologies – Stored procedures, SSIS, Informatica, Alteryx
    • · Ability to gather and document business requirements and translate them to technical requirements
    • · Understanding of business functions (sales, finance, marketing, operations) and how they relate to business intelligence solutions
    • · Has the investigative mindset and related skills that can be used with any number of tools to explore available data
    • · Ability to self-direct and manage priorities; ability to handle issues that are not well-defined and/or conflict with available information; ability to successfully navigate ambiguity to resolution

    Preferred Skills:

    • · Professional certifications in data technologies (BI tools, cloud technologies, ETL, etc.)
    • · Familiarity with dimensional modeling techniques (star schemas, facts, dimensions, etc.)
    • · Ability to build and maintain relationships across the organization, and influence senior management, peers and staff through an inclusive style and recognition of their abilities to achieve results