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Swathi Akshaya

aswati@3ipeople.com


Job ID :J19180

Location : Atlanta, GA

Duration :6 months.

Interview Type :Video

Legal Status :

Job Type :Contract

Background Checks :County Criminal History, Drug Test, Education Verification, Motor Vehicle Report

No Of Openings :1

No Of Hours per week :N/A

Sorry, Job Status has been changed to Closed

Senior Data Analyst

$63 - $63

Hourly

< 3 Years

Experience

Atlanta, GA

Location

Job Description

We have a position for a Senior Data Analyst with one of our clients in Atlanta, GA for an initial contract duration of 6 months. No third party candidates considered for this position.

We are seeking a Senior Data Analyst for the Service Data Team. As such, you will help an entrepreneurial business unit build smarter products for the automotive industry. You will be part of Client Solutions —a $100+ million brand focused on automotive services and fixed operations. Client is a multi-billion-dollar collection of 25+ brands that enable smart, connected and enjoyable car buying, selling and servicing experiences.

Job Summary:

The Senior Data Analyst is responsible for ingesting, cleaning, mining and transforming data.  They also build and validate metrics, monitor data quality, analyze various forms of data (e.g. raw data, base data, 3rd party data, metrics), provide reports and interpret results. The Data Analyst will work with stakeholders to provide insights into the data for new product offerings and trends in the market.

 Primary Responsibilities:

Perform Analysis:

  • Work on service, auction lifecycle of vehicle.
  • Define business questions and collaborate with engineering teams to identify data sources and queries.
  • Tidy, clean and transform data.
  • Analyze data and identify trends.
  • Visualize data, draw conclusions, present insights and tell compelling stories.

Support Data Science:

  • Help data-science and data-engineering teams perform and implement complex analyses.
  • Select key problems to solve.
  • Define goals, source data, and share domain knowledge.
  • Identify data features, measure outcomes, and tune performance.

Build Data Processes:

  • Lead projects to build better data processes.
  • Understand input data, output data and transformations required to bridge the two.
  • Work with data suppliers.
  • Design, build and manage processes to deliver required data.
  • Ensure data quality, and help manage projects to build new, and to improve existing, data pipelines.
  • Drive deliverables, measure KPI’s, and report progress to leadership.

Support Product Management:

  • Understand opportunities and competition around service, pricing and repair data.
  • Interview customers and stakeholders.
  • Research new features and sources of product differentiation.
  • Be the liaison between technology and product strategy.
  • Define KPI’s
  • Be technology’s go-to person for questions related to Operational Data, integration with other systems.

Information Analysis:

  • Performs data analysis and validation.
  • Translates data into meaningful insights.
  • Develops reports and data visualizations to present insights in the most effective way to enable decision making.
  • Monitors and analyzes key metrics, and executes recurring analyses and reporting.
  • Mines and interprets data, monitors and analyzes key metrics and interprets performance and provides insight into the data and metrics generated.
  • Handles data preparation and data analysis portions of various projects.
  • Writes, maintains and/or updates queries to develop analyses in response to queries from internal customers.
  • Ensures accuracy of results produced as a result of data analysis.

Information Management:

  • Coordinates data feeds and updates and sources additional data required for analysis.
  • Determines the value of new internal and external data sources, merges disparate data sets, ingests data, cleans and munges data, derives metrics, and transforms the data into usable information.
  • Assists development teams in creating and maintaining data reporting models.
  • Assists in the development and implementation of data monitoring and measurement systems.
  • Develops monitoring mechanisms for quality and data management purposes.
  • Builds and validates new derived metrics and associated business rules.
  • Ensures the quality of specific data stores for collection, tracking and reporting of research data.

Preferred Skills

AMP, AMP, AMP, AMP, AMP, AMP, AMP

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