Senior Data Analytics Engineer

We are looking for a savvy Data Analytics Engineer to join our growing team of data analytics experts who enable processing, modeling, and analysis of the data. The ideal candidate has a knack for seeing solutions in sprawling data sets and the business mindset to convert insights into strategic opportunities for our company.

The Data Analytics Engineer will work closely with Technical Product Owner to support and implement high-quality, data-driven decisions. They will ensure data accuracy and consistent reporting by designing and creating optimal processes and procedures for analytics. They will use advanced data modeling, predictive modeling and analytical techniques to interpret key findings from company data to support business outcomes. The right person will apply their exhaustive knowledge of data analysis to solving real-world problems faced by our company.

Responsibilities

  • Lead cross-functional projects using advanced data modeling and analysis techniques to discover insights that will guide strategic decisions and uncover optimization opportunities.
  • Build, develop and maintain data models, actionable reporting systems, data automation systems, dashboards and performance metrics support that support key business decisions.
  • Design and delivery of reports and insights that analyze business functions and key operations and performance metrics.
  • Manage and optimize processes for data intake, validation, mining and engineering as well as modeling, visualization and communication deliverables.
  • Examine, interpret and report results of analytical initiatives to stakeholders in leadership, technology, sales, marketing and product teams.
  • Develop and implement quality controls and departmental standards to ensure quality standards, organizational expectations, and regulatory requirements.

Qualifications

  • Experience using analytical concepts and statistical techniques: hypothesis development, designing tests/experiments, analyzing data, drawing conclusions, and developing actionable recommendations for business units.
  • Experience and knowledge of statistical modeling techniques: GLM multiple regression, logistic regression, log-linear regression, variable selection, etc.
  • Experience working with and creating databases and dashboards using all relevant data to inform decisions.
  • 2+ years’ experience working with AWS Analytics Services and Big Data
  • Experience with data visualization tools: Thoughtspot, QuickSight Q, Tableau
  • Experience with Big Data consumption tools: Athena, Presto, and Redshift Spectrum
  • Experience with Data Catalog Consumption tools: ElasticSearch/OpenSearch, Glue Data Catalog, Access tables, etc.
  • Experience with Python and PySpark.
  • Strong programming skills with Hadoop.
  • Strong SQL skills, ability to perform effective querying involving multiple tables and subqueries.
  • Experience with JAVA and C++ is a plus.
  • Experience using other cloud technologies is a plus.

What’s in it for me?

  • Competitive offer package including multisport card, health insurance & vouchers.
  • The best medical coverage on the market with free dental care.
  • Annual bonus plan.
  • Remote work from home.
  • One extra day annually to use for holiday.
  • Opportunity to contribute to developing and maintaining a live platform product making an impact on people’s lives.