Middle Data Analyst Jobs

Find remote middle data analyst positions. Browse through our curated list of opportunities and take the next step in your career.

Data Analyst

Middle

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🔥 Data Analyst, Operations

Posted about 20 hours ago

🧭 Full-Time

💸 100000.0 - 130000.0 USD per year

🔍 Health and wellness

🏢 Company: hims & hers

5-8 years of experience in data analysis, operations analytics, or a related field.
Strong proficiency in SQL and data manipulation for analysis and reporting.
Hands-on experience with modern analytics tools and technologies, including Looker, Google BigQuery, and DBT.
Solid understanding of data visualization best practices and principles.
Ability to logically connect data and system logic with business processes and requirements.
Proven ability to work with complex datasets and translate them into actionable insights.
Strong analytical skills with a focus on problem-solving and process improvement.
Excellent communication skills and the ability to explain technical concepts to non-technical audiences.
Demonstrated ability to work independently and manage multiple projects in a fast-paced environment.

Own the accuracy and completeness of downstream operational data.
Serve as the operational data domain expert, acting as a liaison between data engineers, business analysts, and other stakeholders.
Design, develop, and maintain dashboards and reports using BI tools to monitor operational performance and key metrics.
Collaborate with operations teams to identify data needs and translate them into actionable insights and visualizations.
Perform in-depth analysis to uncover patterns, trends, and opportunities for process improvement.
Develop and document scalable data models and processes to ensure data accuracy, consistency, and accessibility for stakeholders.
Contribute to the automation of data workflows and reporting processes to improve efficiency.
Partner with cross-functional teams to ensure alignment and consistency in data usage.
Communicate findings and recommendations effectively through data storytelling and presentations.

Posted about 20 hours ago

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🔥 Medior Professional - Business Insights & Data Analyst

Posted 4 days ago

📍 Belgium

🔍 Pest control and hygiene services

Bachelor or Master degree or equivalent through relevant experience.
Desire to work with data and think long term.
Ability to engage with internal customers to determine their needs.
Teamwork and initiative to achieve goals.
Agile project management approach.
Education in Economics, Engineering, Computer Science, Informatics or related fields.
Knowledge in QlikSense, Power BI, Google Big Query, Google Cloud Platform.
Experience in SQL, Data Modelling, Data Visualization, and Python is a plus.
Permanent residency in Belgium.
Fluency in English; Dutch native speaker with good French knowledge.

End-to-end involvement in new developments, taking various roles as needed.
Determine appropriate data sources and convert data based on requirements.
Visualize data-driven information and create reports for insights discussions.
Collaborate with Data Scientist & IT to identify improvements.
Collect, process, and analyze data to build insights and reports using Power BI or Qliksense.
Help identify business information needs and formalize requirements.
Understand the business model to generate accurate insights.
Clean, transform, and convert data into models and visualizations.
Setup customer projects and maintain data in reporting tools.
Work with Data Specialists to share best practices.

Python SQL Qliksense Data visualization Data modeling

Posted 4 days ago

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🔥 Data Analyst

Posted 12 days ago

📍 United States

🧭 Full-Time

🔍 Healthcare

🏢 Company: Mindoula Health👥 251-500💰 $27,250,000 Series C over 4 years agomHealth Medical Wellness Health Care

Bachelor's in a relevant field such as Statistics, Mathematics, Computer Science, or a related quantitative discipline.
Proven experience (3+ years) as a Data Analyst in the healthcare space.
Proficiency in SQL and at least one business intelligence tool.
Proficiency in data visualization tools such as Tableau, Power BI, Looker, or similar.
Familiarity with scripting languages (e.g., Python, R) for data manipulation and analysis.
Strong analytical and problem-solving skills.
Experience with data validation techniques and best practices.
Excellent communication skills to present findings to technical and non-technical stakeholders.
Detail-oriented mindset with the ability to manage multiple adhoc requests.

Create and present clear and actionable data visualizations and reports to communicate findings and insights to stakeholders.
Extend business intelligence functionality to maximize self-service and automate requests.
Design and execute complex SQL queries and scripts to extract, transform, and analyze data from various sources.
Perform exploratory data analysis to uncover trends, patterns, and insights.
Provide expert-level data validation to ensure data quality and consistency.
Collaborate with cross-functional teams to understand and define data requirements.
Develop and maintain documentation for query and data validation processes.

PostgreSQL Python SQL Data Analysis Tableau Data visualization

Posted 12 days ago

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🔥 Data Analyst Business Operations II

Posted 14 days ago

📍 Colombia

🔍 Insurance and financial services

🏢 Company: Capgemini👥 10001-350000 IT Services and IT Consulting

Bachelor's degree required.
Fluent English skills.
3 to 6 years of work experience.
Proficiency in Power BI, Tableau, SQL, and Excel.
Knowledge of data mining practices, tools, and technologies.
Experience with data visualization and reporting.
Understanding of statistical and descriptive analysis.
Familiarity with machine learning models and operations.

Support the Service Operations team for a new business unit.
Conduct data analysis to generate insights.
Leverage prebuilt reports and dashboard products.

SQL Data Mining Machine Learning Tableau Data visualization

Posted 14 days ago

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🔥 People Data Analyst

Posted 24 days ago

📍 Eastern Europe

🧭 Full-Time

💸 35350.0 - 59650.0 USD per year

🔍 HR Technology

🏢 Company: Remote👥 1001-5000💰 $300,000,000 Series C almost 3 years ago🫂 Last layoff over 2 years agoHuman Resources Services

Experience in people analytics and business intelligence.
Strong curiosity for investigating data and deriving insights.
Deep understanding of people metrics, employee engagement, and performance management.
Ability to synthesize complex data into actionable insights.
Proficiency with data tools, particularly Sigma, and presentation tools like Google Slides/PowerPoint.
Experience in data visualization and dashboard creation.
Excellent written and verbal communication skills.
Creativity in identifying reporting gaps and developing solutions.
Fluency in written and spoken English.

Analyze people data to identify trends and patterns that inform decisions.
Design, build, and maintain an integrated People Data dashboard.
Identify opportunities to automate processes for increased efficiency.
Establish structures for consolidating and cleaning data.
Partner with leadership to translate business needs into data-driven solutions.
Deliver reports on key people metrics and advocate for data best practices.

SQL Business Intelligence Data Analysis Data visualization PowerPoint

Posted 24 days ago

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🔥 SQL Data Analyst (Customer Success)

Posted 25 days ago

📍 United States

💸 66200.0 - 119160.0 USD per year

🏢 Company: Eventbrite, Inc.

Minimum 3 years experience with SQL.
Experience with Excel and Tableau (or equivalent software).
Familiarity with integrity operations and customer success metrics.
Proven analytical and quantitative skills.
Ability to use data and metrics to back up assumptions, develop business cases, and complete root cause analyses.

Translate both strategic and tactical questions into analytics requirements.
Collect and analyze data using SQL and organize findings to drive action.
Deliver recurring analysis and insights across the Customer Organization.
Develop scalable reporting and dashboards to monitor leading and lagging indicators.
Identify opportunities to improve process, efficiency, profitability, and productivity.
Assist in setting targets for new initiatives and tracking ongoing progress.

SQL Data Analysis Tableau Data visualization

Posted 25 days ago

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🔥 Data Analyst

Posted 29 days ago

📍 US

🧭 Full-Time

💸 72000.0 - 105000.0 USD per year

🏢 Company: IMA Financial Group👥 1001-5000💰 Private about 4 years agoFinancial Services Wealth Management Risk Management Insurance

Bachelor’s Degree required; preferred in a business or quantitative field.
2-4 years of full-time data analysis experience.
Demonstrated analytical skills to extract, manipulate, analyze, and communicate data.
Critical thinking and problem-solving skills.
Strong learning agility to identify and learn relevant tools and technologies quickly.
Advanced Excel and intermediate to advanced SQL skills.
Experience in Python or R with the ability to write complex queries.
Ability to manage smaller projects from ideation to execution.
Strong communication skills to assess needs with users.

Perform moderately complex analyses using various data sources to provide insights.
Transform data into reports, dashboards, analytical applications, and presentations.
Execute standard and ad hoc analytic projects utilizing SQL, R, Python, or Power BI.
Convert business requirements into actionable reports and analytic content.
Analyze and interpret data with statistical techniques.
Generate presentations using data visualizations.
Explain analytical findings to non-technical colleagues.
Liaison with stakeholders to identify and prioritize analytic initiatives.

Python SQL Data Analysis Analytical Skills Data visualization

Posted 29 days ago

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🔥 Data Analyst

Posted about 1 month ago

📍 Киев, UA

🧭 Full-Time

🔍 Web development and eCommerce

🏢 Company: Peachy👥 11-50💰 $25,110,066 over 2 years agoCosmetics Cosmetic Surgery Wellness Beauty

2+ years of professional experience as a Data Analyst or in a similar role.
Expertise in Google Analytics 4 (GA4) with hands-on experience implementing and optimizing tracking strategies.
Proven experience with Google Tag Manager (GTM), including creating and troubleshooting custom tags and triggers.
Experience building dashboards and reports in Looker or similar BI tools.
Proficiency in SQL for data analysis and reporting.
Strong understanding of eCommerce purchasing funnels and the importance of event tracking.
Hands-on experience with Meta Pixels, TikTok Pixels, and other marketing tracking tools.
Ability to collaborate effectively with engineers to implement and troubleshoot tracking pixels and events.
English proficiency—Upper intermediate or higher.
Detail-oriented with a focus on data accuracy and consistency.

Analyze user behavior and purchasing funnels in eCommerce platforms to identify trends, bottlenecks, and opportunities for optimization.
Build and maintain insightful reports and dashboards in Looker to visualize performance metrics.
Work with GA4, GTM, Meta Pixels, TikTok Pixels, and other tracking tools to ensure accurate event tracking and data collection.
Provide data-driven recommendations for improving campaign performance and optimizing the customer journey.
Collaborate with engineers to set up and validate tracking pixels and custom events on web properties.
Write SQL queries to extract, analyze, and manipulate data as needed for reporting and analysis.
Ensure the accuracy and consistency of data across all analytics platforms and marketing channels.

SQL Data Analysis Google Analytics Reporting Data visualization

Posted about 1 month ago

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🔥 Data Analyst

Posted about 1 month ago

📍 United States

🧭 Full-Time

💸 70000.0 - 80000.0 USD per year

🔍 Healthcare

🏢 Company: Lumata Health👥 11-50💰 $5,500,000 Series A 12 months agoMedical Information Technology Health Care

Bachelor’s degree in Data Analytics, Health Informatics, Business Analytics, or a related field.
2 - 3 years experience as a Data Analyst in the healthcare sector, focusing on care processes and/or business operations.
Understanding of basic healthcare codes (CPT, ICD-10, HCPCS) is required.
Proficiency in data analysis tools (e.g., SQL, Advanced Excel).
Proficiency in EDA and visualization software (e.g., Power BI, Looker, Quicksight).
Strong understanding of healthcare metrics, operational assessments, and process improvement methodologies.
Knowledge of healthcare data privacy standards, such as HIPAA.
Strong verbal and written communication skills.
Experience with AWS services and EHR data is a plus.
Experience with Salesforce schemas is a plus.
Experience with Python is preferred.

Analyze healthcare data to evaluate care management operations, identifying areas for improvement and optimizing workflows.
Develop and maintain interactive dashboards and reports that visualize operational performance metrics and key performance indicators (KPIs).
Collaborate with a variety of stakeholders to gather requirements and define relevant metrics for evaluating care and business operations.
Complete analysis projects, including assembling datasets, cleaning, EDA, and interpretation, ensuring data accuracy and integrity.
Communicate insights and findings effectively to both technical and non-technical audiences, fostering a culture of data-driven decision-making.

Python SQL Data Analysis Data visualization

Posted about 1 month ago

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🔥 Data Analyst

Posted about 1 month ago

📍 United Kingdom

🧭 Full-Time

💸 42000.0 - 50000.0 GBP per year

🔍 SaaS

🏢 Company: Vable👥 11-50💰 $1,000,000 Seed over 8 years agoInternet SaaS Information Technology Software

A Bachelor’s Degree in Data Analytics, Statistics, Computer Science, or a related field.
Minimum of 4 years experience in a data analysis or similar role, preferably within a fast-paced SaaS or technology environment.
Proficiency in data analysis tools and languages, such as Python, R or similar for advanced data manipulation and analysis.
Understanding of the data pipeline, with familiarity with ETL processes.
Familiarity with statistical analysis techniques e.g., regression, hypothesis testing.
Experience working with large datasets and deriving actionable insights.
Proficient in Lucene query syntax for querying and analyzing data in OpenSearch.
Strong SQL skills for working with AWS Quicksight to create reports and visualizations.
Advanced Excel capabilities for quick data manipulation and supplementary analysis.
Experience working with Google Analytics for user behavior tracking and performance metrics.
Familiarity with Hotjar for heatmaps and user interaction insights.
Ability to define and monitor product KPIs and OKRs.
Effective communication and interpersonal skills to work collaboratively and present findings.

Collect, clean, and analyze data from various sources to identify trends and insights.
Collaborate with departments, including Sales, Marketing, Product, Engineering, and Client Success, to understand their data needs and provide tailored insights.
Provide statistical analysis to validate experiment results and recommend next steps.
Ensure data integrity by regularly auditing and maintaining data cleanliness within systems like CRMs and marketing platforms.
Partner with the Client Success team to identify and track key metrics driving client satisfaction and retention.
Develop models to predict churn and identify at-risk users.
Provide training and tools for teams to access and utilize data effectively.
Build and maintain dashboards for real-time monitoring of these metrics.
Interpret data and generate actionable recommendations for the team.
Analyze client behavior to understand engagement patterns, activation rates, and drop-off points.

Python SQL ETL Google Analytics Data visualization

Posted about 1 month ago

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