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BetterHelp · 2 months ago

Business Intelligence and Analytics Engineer

United States

Full-time

Remote

Entry, Mid Level

$100K/yr - $140K/yr

2+ years exp

BetterHelp is on a mission to make mental health care more accessible to everyone. As a Business Intelligence and Analytics Engineer, you will develop data tools and ensure data quality while collaborating with various teams to deliver impactful data insights and foster a data-driven culture.

Health CareHealth DiagnosticsInternetMental HealthTherapeuticsWellness

No H1B

Responsibilities

Act as a subject matter expert (SME) and deliver training to the cross functional teams to enable business users to make data-driven decisions

Deliver direct analytical insights like dashboards and ad-hoc analyses to business stakeholders

Collaborate with the teams across the company to understand their use cases and deliver high value data tools

Live and breathe SQL

Ensure data quality and freshness at every step of the pipeline for data trust and consistency

Create reverse ETL flows to make modeled data directly to stakeholders in the tools they use to foster fast and informed decision making

Define and build robust DataOps pipelines and data expectations to ensure the effective delivery of data to all internal data services

Explore, propose, and integrate new data sources and software solutions into the reporting environment

Contribute to data-driven culture at BetterHelp by directly training stakeholders as well as creating resources such as documentation for empowering others to perform their own analyses

Enjoy great teamwork, have lots of fun, and take pride in building a world-class product that makes a difference in people's lives

Partner with data and machine learning engineers and work with a modern data stack: Airflow, FiveTran, Snowflake, dbt, and Looker

Qualification

SQLData pipeline toolsBI ToolsOLAP data warehousesDataOps practicesData governance proceduresPythonGitCommand lineCommunicationAttention to detailTime managementOrganizational skills

Required

Ability to work in the US (visa sponsorship unfortunately not available for this role)

BSc/MA in a quantitative discipline such as Computer Science, Statistics, Math, or Engineering

At least 2 years of experience in an analytics engineering, data engineering, data analytics, or a related field

Advanced experience working with data pipeline tools, particularly in-warehouse transformation tools (preferably dbt)

Advanced experience with SQL

Experience querying and designing performant tables within OLAP data warehouses (e.g. Snowflake, BigQuery)

At least 1 year experience working & developing with BI Tools (preferably Looker)

Familiarity with frameworks and tradeoffs in building complex data models, preferably working work dimensional modeling frameworks (e.g. Kimball, Data Vault)

Excellent communication (oral and written), attention to detail, time management and organizational skills

Experience and comfort using the command line

Experience using git for version control