Analytics Engineer

Summary

Join SingleStore's Product team as a highly skilled Analytics Engineer and become a key contributor in shaping the strategic direction of our real-time database platform. You will play a pivotal role in uncovering insights that drive product innovation, enhance customer experiences, and inform business strategy. Working with large-scale datasets, you will apply your technical skills and analytical mindset to support SingleStore's growth. This position requires close collaboration with various teams to develop scalable, cloud-based analytics solutions. We seek a self-starter, detail-oriented problem solver who thrives in a fast-paced environment. The role involves designing data pipelines, contributing to AI research, and building analytics tools to provide actionable insights.

Requirements

• 4+ years of work experience in analytics and data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R)
• Experience building & maintaining data pipeline processes using tools like Airflow, SQL Tasks & Stored Procedures
• Experience with one or more industry analytics visualization tools (Grafana, Superset, Tableau, Metabase, Etc) creating reports and dashboards, showcasing your ability to translate complex data into actionable insights
• Experience or coursework in AI/ML concepts
• Basic understanding of fundamental Large Language Model (LLM) concepts, including fine-tuning and validation processes

Responsibilities

• Design, develop, and maintain performant data pipelines for collecting, processing, and transforming data from various sources into a structured format
• Contribute to AI research initiatives and play a key role in validating model performance and accuracy to drive cutting-edge solutions
• Assemble large, complex data sets that meet functional / non-functional business requirements
• Translate complex data into compelling insights that drive strategic business and product decisions
• Provide clean data sets and model data in a way that empowers end users to self serve their analytics needs
• Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, product adoption, operational efficiency, and other key business performance metrics
• Conduct ad hoc data analysis and data quality investigations
• Identify and address performance bottlenecks in data processing, analytics, and reporting to ensure efficient and responsive user experiences
• Ability to scale analytics capabilities of the team from description to prescriptive using ML/AI
• Collaborate with stakeholders to define requirements and deliver effective analytics and reporting solutions
• Apply software engineering best practices to analytics code (e.g. version control, testing, continuous integration)
• Build credibility as a trusted data expert by providing clear, actionable recommendations backed by rigorous analysis

Benefits

• Technology Stipend for New Employees
• Monthly Cell Phone and Internet Stipend
• Health and Wellness benefit
• In office catered lunches and monthly Grubhub credit
• Company and team events
• Flexible time off
• Volunteer time off
• Stock Options
• Health Benefits
• Retirement