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Top Remote Analytics Jobs in Cleveland, OH

714+ Job Results
6 Days Ago
2 Locations
Remote
272 Employees
100K-160K Annually
Mid level
272 Employees
100K-160K Annually
Mid level
Insurance
As an Analytics Engineer at Beam, you will collaborate with various teams to enhance data usability and reliability, develop and maintain the data warehouse, and implement software engineering best practices in analytics processes.
Top Benefits:
401-K
Health Insurance
Remote Work Program
6 Days Ago
United States
Remote
89 Employees
Entry level
89 Employees
Entry level
Legal Tech
The Data Analyst will work remotely to interpret and develop data project requirements, utilizing tools like Python, Excel, and SQL for data cleansing, analysis, and interpreting complex data issues. The role requires effective communication with both technical and non-technical clients and self-management in a fast-paced environment.
6 Days Ago
US
Remote
33 Employees
Senior level
33 Employees
Senior level
Database
The Senior Analytics Engineer will lead the establishment of data infrastructure, design data warehouses, and build data models and ETL pipelines to enhance product analytics and user engagement. This role balances strategic design and hands-on implementation while collaborating with leadership to address business requirements and promote data literacy.
6 Days Ago
United States
Remote
192 Employees
Senior level
192 Employees
Senior level
Big Data • Software • Analytics
As the Head of Analyst Relations at Atlan, you will enhance partnerships with industry analysts, sharing customer success stories and fostering dialogue around data management innovations. You'll collaborate cross-functionally to ensure effective communication of Atlan's value and lead strategic engagement initiatives that contribute to the evolution of the data landscape.
6 Days Ago
United States
Remote
Senior level
Senior level
Fintech
Develop predictive models and machine learning algorithms to optimize financial processes. Conduct exploratory data analysis to identify patterns, collaborate with teams to design analytical solutions, and build the Data Analytics function as the company expands.
6 Days Ago
2 Locations
Remote
1,500 Employees
Junior
1,500 Employees
Junior
HR Tech
The Digital Analyst will focus on website analytics, particularly on SEO and conversion rate optimization. They will analyze data, manage KPI reporting, lead A/B testing, and provide actionable insights to improve site performance while collaborating with marketing leadership on revenue strategies.
Top Benefits:
401-K
401-K Matching
Company Equity
+41 More
7 Days Ago
United States
Remote
1,287 Employees
112K-128K Annually
Senior level
1,287 Employees
112K-128K Annually
Senior level
Edtech • Software
As a Senior Data Analyst at Amplify, you will be responsible for using data to inform business strategy, product development, and impact the lives of millions of students globally. You will work on reporting frameworks, analyze cross-selling patterns, provide key metrics to the executive team, empower customer success managers, and reduce costs for the Professional Development team.
Top Benefits:
401-K
401-K Matching
Adoption Assistance
+47 More
7 Days Ago
8 Locations
Remote
193 Employees
Mid level
193 Employees
Mid level
Gaming
The Senior Data Analyst will own the analytics of games, collaborating with various teams to meet data needs and improve game performance through data-driven projects. Responsibilities include managing reports, enhancing BI technologies, optimizing ETL processes, and overseeing Junior Data Analysts.
7 Days Ago
8 Locations
Remote
357 Employees
Entry level
357 Employees
Entry level
Financial Services
The Analyst will keep updated with the latest trends in the crypto industry, conduct research across sectors, and assess investment opportunities while demonstrating a strong passion for crypto and integrity.
7 Days Ago
2 Locations
Remote
337 Employees
100K-160K Annually
Mid level
337 Employees
100K-160K Annually
Mid level
Insurance
As an Analytics Engineer, you will work with cross-functional teams to build and maintain the data warehouse, improve data usability, quality, and reliability, and develop data quality rules and documentation.
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