Top Hybrid Entry Level Data & Analytics Jobs
As an Operations Analyst at GLS, you will be responsible for identifying, researching, and recommending solutions for internal problems within the business cycle. You will work on strategic analysis, process optimization, credit risk decisions, simulation tools, market research, and more. Strong communication skills and a Bachelor's degree in a relevant field are required, along with proficiency in SQL and/or Python.
As a Data Scientist at GLS, you will analyze business problems, design effective data science solutions, gather and clean data, develop predictive models, generate insights, and collaborate with stakeholders to implement actionable strategies.
As an Analyst at GLS, you will utilize critical thinking and analytical skills to inform business decisions, focusing on areas such as credit risk and pricing. Responsibilities include analyzing data to optimize profit, understand market impacts, and derive insights for dealer partnerships.
As a Data Scientist at Analytic Partners, you will apply scientific methodologies to solve real-world problems, conduct research to enhance analytical solutions, collaborate with business teams for client engagements, address user pain points, and communicate effectively with Product Management and Engineering teams to integrate innovations into products.
As a Junior Pricing Analyst at Arbol, you will quantify and price climate and weather risks using proprietary frameworks, perform data cleaning and exploratory analysis, and communicate pricing details to team members and stakeholders.
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Investigate broken pipeline workflows, manage ETL batch cycle process, curate workflow solutions, expand data governance, facilitate project transitions, enforce file delivery, DBA responsibilities, point person for nightly entity batch, coordinate with departments for workflow creation and troubleshooting.
The Actuarial Analyst is responsible for analyzing complex data sets to interpret operational and financial data, perform statistical analyses, maintain actuarial factors, and prepare reporting. They need to possess strong analytical skills, business acumen, and creative problem solving.
Design and build data pipelines to support machine learning systems, develop ETL processes, maintain high-quality data pipelines, design data models, collaborate with stakeholders, and ensure data compliance with regulations.
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 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.
The Strategy and Operations Analyst will work cross-functionally to support strategic initiatives, coordinate communication between teams and stakeholders, develop policies and processes for customer service, assist with strategic planning under the CEO and COO, and generate reports on operational data using tools like Excel and Tableau.
Top hybrid Companies Hiring Data + Analytics Roles
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