Top Entry Level Data & Analytics Jobs

As a Data Analyst, you will analyze web behaviors, build automated reporting systems, provide insights for business strategies, create visualizations, and collaborate on CRM projects. You will also optimize queries on various data platforms and build workflows using multiple programming tools to enhance analytics capabilities.

The Data Analyst will provide analytical support across departments, running database queries, creating business intelligence dashboards, and programming tools using Python, Java, or R. Responsibilities include project analysis for clients, refining business data, and enhancing internal tools for efficiency.

The Analytics Leadership Development Program at Takeda offers a rotational experience in analyzing data related to pharmaceutical marketing and development. Participants will use various analytical tools to solve business problems, work closely with stakeholders, and develop communication skills. The program emphasizes hands-on experience, mentorship, and career advancement in analytics.

As a Data Analyst, you will conduct exploratory analyses, build data models, and create dashboards using SQL, Redshift, and Looker. You will communicate insights to stakeholders and collaborate with senior members to inform business strategies. This role focuses on developing a deep understanding of the company's business dynamics.

The Senior Loan Operations Analyst is responsible for guiding loan applications through the origination lifecycle, analyzing bank statements, ensuring document authenticity and compliance, and collaborating with underwriters and other teams to maintain data accuracy.

The Business Analyst Suite Manager will shape FRONTSTEPS’ software platform by analyzing data to create user stories and acceptance criteria. This role involves collaborating with cross-functional teams, managing product backlogs, and ensuring user-centered designs that drive continuous improvements.

Seeking Data Analysts to join the growing Data team at Headway. Responsible for analytics and insights needs across the organization, working with partner teams to collect, visualize, and interpret data for better decision-making. Building partnerships between the Data team and the organization through data analysis and creating tools for business stakeholders. Ideal candidates are self-starters, comfortable with ambiguity, excited about building a data-driven culture, and motivated by making an impact.