Senior Data Analyst

Narwal

  • Mason, OH
  • 30+ days ago
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    Skills

    • Analysis Skillsunmatched
    • Apache Hadoopunmatched
    • Apache Hiveunmatched
    • Apache Pigunmatched
    • Apache Sparkunmatched
    • Big Dataunmatched
    • Business Intelligenceunmatched
    • Computer Scienceunmatched
    • Data Analysisunmatched
    • Data Collectionunmatched
    • Data Miningunmatched
    • Data Setsunmatched
    • Data Structuresunmatched
    • Data Warehousingunmatched
    • Database Extract Transform and Load (ETL)unmatched
    • IBM DB2unmatched
    • IBM WebSphere DataStageunmatched
    • Informaticaunmatched
    • Information Technology & Information Systemsunmatched
    • Metricsunmatched
    • Multiplatform/Cross-Platformunmatched
    • OLAP Cubesunmatched
    • Oracle Databaseunmatched
    • Oracle PL-SQLunmatched
    • Performance Analysisunmatched
    • Problem Solving Skillsunmatched
    • Programming Languagesunmatched
    • Python Programming/Scripting Languageunmatched
    • R Programming Languageunmatched
    • Relational Databases (RDBMS)unmatched
    • Root Cause Analysisunmatched
    • SQL (Structured Query Language)unmatched
    • Tableauunmatched
    • Testingunmatched
    • Time Managementunmatched

    Description

    Responsibilities: 

    • Utilizes a hypothesis-driven problem-solving approach to design, construct, and rapidly test/iterate exploratory data-mining analyses to reveal insight across the portfolio.
    • Interprets and communicates insights to product, service and business management.
    • Works with business leaders to identify and develop metrics and visualizations that will track performance and highlight potential inefficiencies.
    • Develops in-depth understanding of underlying data, data structures, and business uses of data.
    • Develop functional understanding of the business and apply towards building business facing marts
    • Partners with business teams to gather, document and maintain business requirements that will inform data modeling decisions.
    • Compiles data from various sources into a single, consumable, data set, including design and implementation of data cubes.
    • Required strong analytical acumen with the ability to uncover insights and create stories by seamlessly integrating a variety of data sources
    • Proficiency with sophisticated analytics tools and programming languages (e.g., R, Python, SQL, HiveQL) and visualization platforms (Webfocus, Tableau etc)
    • Knowledge of Big Data landscape as demonstrated through experience or certification. Eg., Hadoop, Spark, Hive, Pig, Impala.
    • Working Experience in ETL Tools like DataStage, Informatica and procedures including PL/SQL.
    • Experience with relational databases, OLAP Cubes and data warehousing (Oracle, DB2, Hadoop) preferred
    • Experience in data mining and root cause analysis preferred
    • Ability to work in a fast-paced and dynamic environment
    • Ability to work with large, complex data sets across multiple platforms and design efficient processes to provide accurate and timely information.


    Qualifications:
    • Bachelor's degree in Data Analytics, Computer Science, Information Systems or Business; prior work experience in Business Intelligence preferred.
    • Typically requires a minimum of 5 years of related experience with a Bachelor's degree; or 3 years and a Master's degree; or a PhD without experience; or equivalent work experience.

    Numbers & Facts

    LocationMason, OH

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