Why is remote work so nice? Let's try to see!
Apply
Data Analyst
Posted 14 days agoViewed
💎 Seniority level: Junior, 1+ years
💸 Salary: 87930.0 - 108000.0 USD per year
🔍 Industry: Software Development
🏢 Company: iSpot.tv👥 251-500💰 $325,000,000 Private almost 3 years agoDigital MarketingAdvertisingReal TimeTest and MeasurementMarket ResearchBrand MarketingAnalyticsMarketingInformation TechnologySoftware
🗣️ Languages: English
⏳ Experience: 1+ years
Requirements:
- 1+ years of experience in Analytics, Data Science, or comparable field, including work experience, internships and school programs;
- Bachelor's degree in a quantitative or social science field;
- 1+ years coding experience in R, Python, or SQL;
Responsibilities:
- Collaborating on complex problems, both independently and as part of a team, while writing and optimizing R, Python, or SQL scripts for effective data processing.
- Adapting existing tools and methods to meet evolving needs, balancing workloads across various projects, and leveraging solid machine learning and statistical skills to inform data-driven decisions.
- Collecting, aggregating, and manipulating data from multiple sources, applying analytical techniques to derive insights, and creating clear visualizations or reports.
- Engaging with internal and external teams to clarify requirements, address challenges, and develop tailored solutions, while documenting project status and updates in tools like JIRA.
- Communicating effectively with diverse audiences, translating complex findings into accessible formats through written reports and presentations, and actively participating in team discussions to support collaboration and problem-solving.
Related Jobs
Apply
🔥 Data Analyst - remote, full-time, Fluent in Russian and English
Posted about 8 hours ago
📍 Serbia
🧭 Full-Time
🏢 Company: WHIZZ
- Proven experience in SQL, data analysis, and dashboard creation.
- Strong working knowledge of Metabase is required.
- Good understanding of data visualization best practices and performance optimization.
- Strong problem-solving skills and ability to work in a fast-paced environment.
- Fluent in English and Russian.
- Create and maintain analytical dashboards using SQL queries for custom charts and tables (Metabase).
- Сreate reports to visualize data insights for management (Metabase).
- Perform various ad hoc research and analysis to support operational and strategic decisions.
- Analyze customer behavior, operational performance, and product usage trends.
- Collaborate with product managers and stakeholders to define KPIs and monitor performance.
- Translate business needs into technical specifications and data models.
- Ensure data integrity and consistency across reports and dashboards.
- All other duties as assigned.
SQLData AnalysisREST APIData visualization
Posted about 8 hours ago
ApplyApply
🔥 Reliability Data Analyst
Posted about 20 hours ago
📍 United States
💸 75000.0 - 85000.0 USD per year
🔍 Real Estate
- Associates Degree in a business or technology field. Bachelor’s degree preferred.
- Minimum of 2 years of relevant experience.
- Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information.
- Proficient in data collection methodologies, data analysis techniques, and project management principles.
- Experience with real estate software applications and data management tools.
- Excellent analytical skills and attention to detail, with the ability to identify patterns, trends, and irregularities within large data sets.
- Strong communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams and stakeholders at all levels.
- Proven ability to manage multiple projects simultaneously, meet deadlines, and adapt to changing priorities.
- Identify, analyze, and interpret trends or patterns in complex data sets.
- Filter and clean large data sets to ensure consistency and adherence to internal processes.
- Review field data real time and provide clear and actionable feedback to surveyors for improvement in collection techniques
- Coordinate and collaborate with cross-functional teams, including program management, surveyors, reliability engineers, subject matter experts, and technology professionals, to ensure project milestones are successfully met.
- Prepare clear and concise reports summarizing data collection findings, asset validation results, and their implications for business decisions.
- Present project progress, challenges, and recommendations to key stakeholders, both internally and externally, using effective verbal and written communication skills.
- Collaborate with the technology team to enhance data reporting and visualization capabilities, ensuring the delivery of actionable insights to stakeholders.
- Assist with the methods to gather asset data and perform asset validation.
- Work with leadership to streamline the entire process, from data collection to upload into the clients’ Computerized Maintenance Management System (CMMS).
- Provide insights and recommendations based on data analysis to optimize asset performance, mitigate risk, and support informed decision-making processes.
- Work with other Reliability Data Analysts and the Reliability Database Specialist to develop tools and techniques to enhance the QA/QC process.
- Perform other work as assigned.
Project ManagementData AnalysisCommunication SkillsAnalytical SkillsReportingData visualizationData management
Posted about 20 hours ago
ApplyApply
🔥 Senior Energy Data Analyst
Posted about 21 hours ago
💸 120000.0 - 140000.0 USD per year
🔍 Software Development
🏢 Company: EnergyHub
- Experience delivering high quality analytics using SQL, Python and BI dashboards
- Excellent written and verbal communication skills
- A commitment to accurate data analysis and credibility
- A passion for enabling a carbon free, distributed energy future
- Work with clients and internal stakeholders to define the scope of potentially ill-defined BI projects
- Estimate the effort required to deliver client-initiated BI projects
- Work within our Snowflake data warehouse using SQL and dbt to collect data needed to deliver analytics results
- Develop reports, dashboards, and data exports that exceed client expectations for data quality and insightfulness
- Collaborate with engineering and data science teams to translate lessons learned from BI projects into improved products and internal business insights
- Prepare reports for clients with high quality text and graphics
- Develop dashboards and reports for internal company stakeholders to assist with business decision making
- Join client meetings to discuss new projects, present results, and collect client feedback
- Other duties as assigned
Posted about 21 hours ago
ApplyApply
🔥 Senior Data Analyst
Posted about 21 hours ago
📍 United States
💸 122400.0 - 195500.0 USD per year
🔍 Digital Health
🏢 Company: Headspace👥 11-50WellnessHealth CareChild Care
- 5+ years of well-rounded analytics experience, ideally with exposure to Digital Health, high-growth SaaS, and/or Mental Health industries in dynamic, rapid growth environments.
- 3+ years of experience working directly with executive leadership and product leaders, demonstrating the ability to align analytics initiatives with strategic goals.
- 5+ years of analytics experience focused on customer growth, engagement, and lifecycle optimization.
- Own and drive strong business outcomes through impactful data projects.
- Collaborate with cross-functional teams to translate complex business problems into scalable analytical frameworks.
- Act as a trusted advisor on advanced statistical analysis, data science modeling, experimental design, methodology, and financial impact analysis, ensuring adherence to best practices across the organization.
AWSSQLData AnalysisETLTableauData scienceSparkAnalytical SkillsData visualizationFinancial analysisData modelingData analytics
Posted about 21 hours ago
ApplyApply
🔥 Senior Financial Data Analyst
Posted 1 day ago
🔍 Financial Services
- 6+ years of shown experience, preferably in financial services.
- Financial background with experience in investment banking, asset management, or financial services.
- Strong understanding of financial instruments, market risk, and portfolio management.
- Experience working with large financial datasets and databases.
- Excellent analytical and problem-solving skills.
- Strong communication and teamwork abilities.
- Excellent verbal and written communication skills combined with an ability to connect across different functions and levels to convey complex concepts simply and clearly.
- Own day-to-day vendor data configuration requirements of new and existing clients.
- Contribute to all aspects of rolling out multiple concurrent new indices, across various assets and strategies. This includes vendor data acquisition, data mapping and normalization, process testing and automation, and quality control.
- Provide high-quality client services externally and internally.
- Address inquiries and resolve problems from external clients and internal partners.
- Understand risk analytics of fixed income, equity, and alternative products.
- Analyze index methodologies, collaborate with vendors, and build custom solutions for the business.
Posted 1 day ago
ApplyApply
🔥 Financial Data Analyst
Posted 1 day ago
🔍 Financial Services
- 4+ years of shown experience, preferably in financial services.
- Financial background with experience in investment banking, asset management, or financial services.
- Strong understanding of financial instruments, market risk, and portfolio management.
- Experience working with large financial datasets and databases.
- Excellent analytical and problem-solving skills.
- Strong communication and teamwork abilities.
- Experience in Python and SQL.
- Own day-to-day vendor data configuration requirements of new and existing clients.
- Contribute to all aspects of rolling out multiple concurrent new indices, across various assets and strategies. This includes vendor data acquisition, data mapping and normalization, process testing and automation, and quality control.
- Provide high-quality client services externally and internally.
- Address inquiries and resolve problems from external clients and internal partners.
- Understand risk analytics of fixed income, equity, and alternative products.
- Analyze index methodologies, collaborate with vendors, and build custom solutions for the business.
Posted 1 day ago
ApplyApply
🔥 Data Analyst
Posted 1 day ago
🏢 Company: Multiplica Talent👥 101-250Staffing AgencyOutsourcingInformation TechnologyRecruiting
Posted 1 day ago
ApplyApply
🔥 Full Stack Data Analyst - Critical Data Products
Posted 1 day ago
🔍 Fintech
- Are an experienced Data Analyst with a strong background in analytics, data visualization, and insight generation within a fast-paced environment, preferably fintech.
- Possess advanced SQL skills and experience with data modeling tools, particularly dbt and BigQuery.
- Have extensive experience with data visualization tools, specifically Looker and LookML.
- Are passionate about building high-quality, robust, and user-friendly dashboards and tools for diverse stakeholders.
- Are committed to ensuring the reliability and accuracy of data and data products, critical in a fintech setting.
- Possess an understanding of business and product strategy, and how data can support it.
- Demonstrate a strong sense of ownership and responsibility for your work.
- Are familiar with CI/CD processes and understand their importance in maintaining data integrity.
- Have experience in financial operations, payments, credit and/or compliance.
- Possess a solid understanding of data privacy principles and governance practices.
- Run analyses with data, present and automate insights and recommendations to business stakeholders.
- Empowering our internal teams at Pleo with high-quality, self-serve data through the development and maintenance of dashboards and reports in Looker.
- Support in the development and delivery of reporting for external purposes.
- Identifying opportunities to improve operational efficiencies and product performance using data and analytics.
- Collaborating with cross-functional stakeholders to define data requirements, uncover trends, and identify opportunities for product enhancement.
- Engaging with data colleagues and peers to foster a culture of cross-team learning and knowledge sharing.
Posted 1 day ago
ApplyApply
🔥 Data Analyst
Posted 2 days ago
🧭 Full-Time
🔍 IGaming
🏢 Company: Thrill Labs
- 3+ years of experience in a data analysis role.
- Strong SQL skills, with experience querying large datasets.
- Proficiency in data visualization tools such as Looker, Tableau, or Power BI.
- Experience with Google Analytics / customer behaviour tracking tools.
- Strong analytical mindset, with the ability to translate data into actionable recommendations.
- Analyze complex datasets to extract actionable insights that drive product, marketing, and operational strategies.
- Develop and maintain dashboards and reports to track key business metrics.
- Work closely with product, engineering, operations, marketing, and leadership teams to identify and solve critical business challenges.
- Ensure data integrity, optimise data pipelines, and contribute to improving internal analytics processes.
Posted 2 days ago
ApplyApply
🔥 Data Analyst (Remote, Graveyard)
Posted 2 days ago
📍 Philippines
🔍 SaaS
🏢 Company: Anytime Mailbox👥 11-50Information ServicesEmailInformation TechnologySoftware
- Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or a related field
- 3 years of experience in data analysis, preferably within a SaaS or subscription-based business environment.
- Strong understanding of subscription churn metrics, customer segmentation, and cohort analysis.
- Experience with data visualization tools such as Tableau, Looker, or Power BI preferred
- Familiarity with machine learning techniques for predictive modeling and customer behavior analysis is preferred
- Excellent communication skills with the ability to translate complex data findings into actionable insights for non-technical stakeholders.
- Proven track record of driving business impact through data-driven decision-making.
- Experience working with subscription management platforms (e.g., Zuora, Chargebee, Stripe) preferred
- Strong proficiency in Excel and Google Sheets, with a focus on utilizing formulas and effectively organizing and structuring data
- Attention to detail and a commitment to data accuracy and integrity.
- Previous exposure to customer success or retention-focused roles preferred
- Analyze subscription churn patterns and develop predictive models to forecast customer attrition rates.
- Identify key factors influencing customer retention and engagement through comprehensive data analysis.
- Collaborate with product and marketing teams to implement targeted retention campaigns based on data insights.
- Monitor subscription KPIs such as MRR (Monthly Recurring Revenue), customer lifetime value (CLV), and churn rate.
- Conduct A/B testing and experimentation to optimize onboarding processes and reduce churn.
- Utilize data visualization tools to create actionable dashboards and reports for stakeholders.
- Partner with customer success teams to implement proactive measures for customer satisfaction and loyalty.
- Partner with sales teams to analyze sales processes and identify areas for optimization and efficiency improvements.
- Analyze internal application workflows (e.g., customer support, billing) to streamline operations and enhance user experience.
- Continuously assess data quality and integrity to ensure accuracy and reliability of analytics outputs.
SQLData AnalysisMachine LearningTableauData visualizationData modelingSaaSA/B testing
Posted 2 days ago
ApplyRelated Articles
Posted 7 months ago
Insights into the evolving landscape of remote work in 2024 reveal the importance of certifications and continuous learning. This article breaks down emerging trends, sought-after certifications, and provides practical solutions for enhancing your employability and expertise. What skills will be essential for remote job seekers, and how can you navigate this dynamic market to secure your dream role?
Posted 8 months ago
Explore the challenges and strategies of maintaining work-life balance while working remotely. Learn about unique aspects of remote work, associated challenges, historical context, and effective strategies to separate work and personal life.
Posted 8 months ago
Google is gearing up to expand its remote job listings, promising more opportunities across various departments and regions. Find out how this move can benefit job seekers and impact the market.
Posted 8 months ago
Learn about the importance of pre-onboarding preparation for remote employees, including checklist creation, documentation, tools and equipment setup, communication plans, and feedback strategies. Discover how proactive pre-onboarding can enhance job performance, increase retention rates, and foster a sense of belonging from day one.