Top Entry Level Analytics Jobs

As a Software Engineer focusing on Data Analytics, you will develop tools and processes for autonomy software, optimize data pipelines, ensure data quality, and produce actionable insights through reports and dashboards, collaborating with stakeholders on performance metrics.

The Research Scientist at ERG will manage projects related to oil and gas monitoring and other air sampling tasks. Responsibilities include designing and building equipment for air sampling, writing technical documents, and conducting field work up to 30% of the time. Mechanical and fabrication skills are essential, alongside knowledge of programming languages like Python, HTML, and R.

The Quality Assurance Analyst will test website features within a CMS, develop and maintain test cases, conduct various types of testing, identify bugs using Jira, and communicate project issues with the management team.

The Performance Analyst supports teams by handling investment reporting, client support, and data analysis. Responsibilities include obtaining client statements, reconciling performance returns, analyzing assets, monitoring trends, and responding to client inquiries.

As an Analytics Engineer, you'll own workstreams with minimal supervision, lead stakeholder engagement for design sessions, produce high-quality production-level code, and assist in proposal development and marketing efforts while supporting team training and professional development.

As a Customer Communication and Insights Analyst at Super.com, you will enhance customer satisfaction through data analysis of CSAT surveys and optimize customer-facing communications. Your role involves managing messaging across channels and collaborating with teams to derive actionable insights from customer feedback, ultimately improving the overall customer experience.

The Data Integration Specialist will work with clients to onboard their data to Enterra solutions, validate data processes, and communicate requirements. Responsibilities include mapping data, addressing gaps, conducting initial data wrangling, and testing solutions. The role emphasizes collaboration with data engineers and understanding client data needs.