DATA ENGINEER

ABOUT EVOLYTICS

Evolytics is evolving analytics by inspiring people to use data in ways that make a difference in the world. With a focus on optimizing consumer experiences and strengthening business growth, Evolytics works with world-class brands to support data initiatives that span the data lifecycle. Capabilities include: Measurement Strategy & Planning, Data Audits, Analytics Implementation Services, Data Engineering, Reporting & Analysis, Data Visualization, Testing & Optimization, Predictive Analytics and Customized Training.

JOB RESPONSIBILITIES INCLUDE:

  • Develop processes and procedures for ingesting data from disparate sources,
    including the use of Python, Bash, and SQL scripting
  • Develop and/or maintain database architecture, including fine tuning and
    optimizing query plans, indices/projections, etc.
  • Create and maintain customized SQL queries, develop reporting structures using SQL, develop and build data models for BI analysis
  • Assess client implementation efforts and conduct data QA to determine and
    document any gaps between the data being collected and what is needed for
    reporting outputs
  • Project manage multiple client requests and detailed project activities at any one
    time to ensure accurate, timely and efficient reporting and analysis deliverables
  • Share thought leadership on the Evolytics blog

SQL skills are critical for this Data Engineer role. Consideration will be given to
qualified candidates with varying levels of experience, with compensation
commensurate with experience.

WHAT EXPERIENCE WOULD WE LIKE TO SEE?

  • Experience in database development languages (T-SQL, PLSQL, SQL)
  • Experience with various database systems (MySQL, Vertica, Oracle, Netezza,
    etc.)
  • Experience developing/implementing ETL processes and data pipelines
  • Knowledge of BI methodologies and functions; experience with relational
    databases
  • Knowledge of data modeling tools; experience building cubes, SDLC and SQL
    Server reporting services is all a plus
  • Knowledge of Big Data solutions (Hadoop, Hive, Pig, Spark or AWS)
  • Minimum of a bachelor’s degree, or a degree in Computer Science, Information Systems, Business, Marketing or a related discipline.

OTHER EXPERIENCE THAT IS HELPFUL, BUT NOT REQUIRED

  • Experience working with clickstream web analytics tools such Adobe Analytics
    (Omniture SiteCatalyst), Adobe Discover, Google Analytics, or working
    knowledge of the field of web analytics
  • Knowledge of commonly-used digital metrics, analytics concepts and online
    marketing channel best practices
  • Proficiency in Excel and PowerPoint
  • Experience with Tableau
  • Clear communicator; ability to clearly present complex data sets, context and
    implications to clients
  • An entrepreneurial drive
  • Ability to learn new technologies quickly
  • Ability to prioritize workflow to handle multiple priorities; ability to perform
    effectively without supervision and within established timelines
  • Passion to self-educate and keep up-to- date on the latest analytics trends
  • And, the ability to work collaboratively and innovatively with our awesome team.

This role includes the unique opportunity to work alongside some of the best talent that you will find in the Digital Analytics industry worldwide.

CULTURE

  • Relaxed Work Environment: Casual Dress Code, Pool Table, Break Room, Treadmill Desks
  • Open Office Floor Plan Enhances Collaboration
  • Learning Opportunities and Company-Provided Training
  • Offsite Team-Building Events and Company Happy Hours
  • Free Weekly Lunch on Taco Tuesday
  • Free Snacks, Fruits and Beverages

BENEFITS

  • Competitive Health Insurance and Benefits
  • Great Compensation Package with Paid Time Off, Performance Bonuses and IRA Matching Contributions

Join Evolytics!
Awesome people make powerful teams. Let’s do great things together!
Job Type: Full-time

JOIN EVOLYTICS!

Awesome people make powerful teams. Let’s do great things together!

Please include a cover letter describing your experience with analytics as well as your resume.

Position Type: Full Time

Wayne kaufmanschmidtData Engineering