Apply

Data Analyst

Posted 5 months agoViewed

View full description

💎 Seniority level: Middle, 3 to 8 years

📍 Location: United States

🔍 Industry: Management consulting

🏢 Company: US Federal Solutions

🗣️ Languages: English

⏳ Experience: 3 to 8 years

🪄 Skills: SQLData AnalysisTableauStrategyFinancial ManagementCommunication SkillsProblem Solving

Requirements:
  • Bachelor’s degree in a technical discipline is highly preferred.
  • 3 to 8 years of relevant professional experience in data analytics or a related field.
  • Proficiency in Tableau and/or Power BI for dashboard creation and data visualization.
  • Proficiency in SQL for data querying and manipulation.
  • Python or other programming languages is a plus.
  • Strong skills in MS Excel for data analysis and modeling.
  • Excellent communication skills, with the ability to present complex data insights clearly.
  • Strong analytical and problem-solving skills.
  • Ability to work collaboratively within a team and across different departments.
Responsibilities:
  • Provide analytical support, including the development of dashboards and reports using Tableau or Power BI.
  • Offer strategic modeling, metrics, and analytical support to various U.S. Government agencies.
  • Support cost modeling and cost-benefit analysis for various projects.
  • Assist in the POM process, offering data-driven insights.
  • Analyze and improve business processes using data analytics.
  • Provide analytical strategy and support for ICE initiatives.
  • Manage records data, including FOIA declassification and records scheduling.
  • Generate monthly training reports, including supervisory training for both military and civilian personnel.
Apply

Related Jobs

Apply
🔥 Data Analyst
Posted 3 days ago

📍 United States

🏢 Company: Duvall Homes👥 101-250TrainingNon ProfitHealth Care

  • Bachelor's degree in Data Science, Statistics, Computer Science, or a related field.
  • Proficiency in data analysis tools and software such as Excel, SQL, and data visualization platforms (e.g., Tableau, Power BI).
  • Strong analytical and problem-solving skills with an eye for detail.
  • Excellent communication skills to effectively convey complex data findings.
  • Experience with statistical analysis and modeling techniques is a plus.
  • Ability to work collaboratively in a team environment and manage multiple projects effectively.
  • Familiarity with data governance and best practices in data management.
  • Collect and analyze data from various sources to support organizational goals.
  • Develop and maintain dashboards and reports to track key performance indicators and metrics.
  • Collaborate with cross-functional teams to understand their data requirements and provide insights tailored to their needs.
  • Identify trends, patterns, and anomalies within the data to inform decision-making.
  • Present findings and recommendations to management and stakeholders in a clear and concise manner.
  • Ensure data integrity and accuracy through regular checks and validations.
  • Stay up-to-date with industry best practices and emerging technologies in data analysis.

SQLData AnalysisTableauData visualizationData modeling

Posted 3 days ago
Apply
Apply

📍 United States

🧭 Internship

💸 52658.0 - 79650.0 USD per year

🔍 Internet of Things (IoT)

  • Pursuing a Bachelor’s degree in Computer Science, graduating in Spring 2026 or a first year’s Master’s Student in Computer Science graduating in Spring 2026.
  • Proficiency in Python and AWS networking or cloud service infrastructure understanding.
  • Strong analytical skills and proficiency in statistical modeling, data visualization, and utilizing analytics tools such as SQL, Python, R, Tableau, ThinkCell, and DataBricks.
  • Excellent communication abilities, capable of articulating complex data insights to diverse audiences.
  • Ability to manage multiple tasks and projects with attention to detail.
  • Strong initiative and comfort with ambiguity, ready to lead projects.
  • Design and implement comprehensive data collection systems to optimize statistical efficiency and ensure data quality.
  • Work closely with cross-functional teams to define and refine data analysis requirements.
  • Utilize Tableau, ThinkCell, DataBricks, and similar tools to create dynamic visualizations and interactive reports from diverse data sources.
  • Develop analytical frameworks that enhance data quality and accessibility, enabling more informed decision-making across the organization.
  • Conduct detailed budgeting, forecasting, variance analysis, and engage in projects that support financial and operational planning.
  • Generate actionable insights through meticulous data analysis, presenting findings to stakeholders and guiding strategic initiatives.
  • Navigate the challenges of initiating projects without predefined roles and responsibilities, demonstrating a high degree of adaptability and problem-solving skills.
  • Champion, role model, and embed Samsara’s cultural principles as we scale globally.

AWSPythonSQLTableau

Posted 3 days ago
Apply
Apply

📍 US

🧭 Full-Time

💸 127000.0 - 160000.0 USD per year

🔍 Data Analytics

🏢 Company: dbt Labs👥 251-500💰 $222,000,000 Series D almost 3 years ago🫂 Last layoff over 1 year agoArtificial Intelligence (AI)Open SourceBig DataAnalyticsInformation TechnologySoftware

  • 5+ years of experience working in marketing analytics.
  • Experience working asynchronously in a fully-remote environment.
  • Proven collaboration skills across technical and non-technical teams.
  • Proficiency in quantitative analysis for actionable insights.
  • Experience with data querying languages like SQL.
  • Exploratory analysis experience for ambiguous questions.
  • Work closely with business stakeholders, analytics engineers, and data engineers to deliver actionable insights.
  • Define and analyze marketing program metrics.
  • Optimize user experience funnels.
  • Identify campaign trends to influence growth strategy.
  • Collaborate with marketing, operations, and finance teams on projects.

SQLData Analysis

Posted 4 days ago
Apply
Apply
🔥 Data Analyst
Posted 5 days ago

📍 United States

🧭 Full-Time

💸 108300.0 - 150000.0 USD per year

🔍 AI lending marketplace

🏢 Company: Upstart👥 1001-5000💰 $425,000,000 Post-IPO Debt 3 months ago🫂 Last layoff about 2 years agoCreditAutomotiveArtificial Intelligence (AI)Consumer LendingLendingFinancial ServicesPersonal FinanceMachine LearningFinTech

  • 3+ years of professional experience with demonstrated growth in the technology and financial industry.
  • Experience in credit analytics, valuation, and quantitative financial model development using Python, R, and SQL.
  • Experience in decision making supported by large datasets and data modeling with tools like Databricks, DBT, Looker, Snowflake, and Redshift.
  • Degree in Economics, Statistics, Engineering, Data Science, or other quantitative fields.
  • Partner with Data Analytics, Machine Learning, Product, Engineering, and Finance teams to shape credit metrics and narratives.
  • Influence Upstart’s credit platform and investor/lending community through informed decisions and insights.
  • Lead analytics on underwriting decisions and model impacts for in-depth credit data analysis.
  • Build foundational forecast models, data pipelines, and automated reporting.
  • Collaborate with analyst community on best practices in data and analytics.

PythonSQLData AnalysisMachine LearningSnowflakeTableauData modeling

Posted 5 days ago
Apply
Apply
🔥 Senior Data Analyst
Posted 5 days ago

📍 Australia, West Coast USA

🔍 Education Technology

🏢 Company: Go1 Australia

  • Bachelor's or Master's degree in Data Science, Statistics, Mathematics, or Computer Science.
  • Minimum 5 years experience as a Data Analyst focused on statistical analysis.
  • Strong application of statistical methods in analytical products.
  • Proficiency in SQL and Python.
  • Strong communication skills to convey complex ideas.
  • Experience in a B2B SaaS environment (nice to have).
  • Experience with Databricks (nice to have).
  • Experience in automated tests, version control, and using CICD and GitHub (nice to have).
  • Collaborate with stakeholders to understand strategy and goals.
  • Profile, validate, and analyze large datasets for insights.
  • Apply advanced statistical techniques to interpret data.
  • Develop and own metric models, dashboards, and reports.
  • Prepare and present reports to technical and non-technical stakeholders.
  • Identify and develop strategies to improve business performance.
  • Mentor and guide other Analysts.
  • Stay current with trends in data analysis and statistical techniques.

PythonSQLData AnalysisGitCI/CDData visualization

Posted 5 days ago
Apply
Apply
🔥 Data Analyst
Posted 5 days ago

📍 Alabama, Arizona, California, Colorado, Florida, Georgia, Hawaii, Idaho, Illinois, Indiana, Maryland, Massachusetts, Montana, New Hampshire, New Jersey, New Mexico, New York, North Carolina, Oklahoma, Oregon, Pennsylvania, Texas, Utah, Virginia, Washington DC, West Virginia

🧭 Full-Time

💸 76000.0 USD per year

🔍 Technology, Nonprofit

🏢 Company: CareerVillage.org

  • You are mission-driven and committed to developing transformational social impact technology.
  • Experience working with learners from underserved communities or interest in education and social impact.
  • Experience or interest in using Generative AI as a consumer and with learners.
  • Comfort working across teams and bringing structure and clarity to complex questions.
  • 1+ years of experience in data analytics or a related role.
  • Experience with data cleaning and preparation is strongly preferred.
  • Proficiency in SQL and/or other data manipulation languages.
  • Strong knowledge of Excel/Google Sheets and data visualization tools (e.g., Tableau, Power BI).
  • Excellent attention to detail and problem-solving abilities.
  • The panoply of soft skills that makes a great teammate.
  • Analyze our data to find opportunities to improve the impact and delivery of our programs.
  • Work closely with product, engineering, community, partnerships, and leadership teams to inform and influence data-based decision-making and help execute our strategies.
  • Communicate data concepts, analyses, and results to non-technical staff members in other departments.
  • Derive insights from our impact data.
  • Write reports/presentations on your findings to share with internal and external stakeholders and drive change.

PythonSQLTableau

Posted 5 days ago
Apply
Apply
🔥 Staff Data Analyst
Posted 5 days ago

📍 United States

💸 131414.0 - 197100.0 USD per year

🔍 Mental Health

🏢 Company: Headspace👥 11-50WellnessHealth CareChild Care

  • 8+ years of well-rounded analytics experience, ideally in Digital Health, high-growth SaaS, and/or Mental Health.
  • 6+ years of experience working directly with executive leadership and product leaders.
  • 8+ years of analytics experience focused on customer growth, engagement, and lifecycle optimization.
  • 6+ years of experience owning and managing data products to create business impact.
  • 8+ years of expertise in big data technologies (e.g., Redshift, S3, Databricks, Datalakes, Spark).
  • Advanced skills in SQL, Python, R, Looker, Tableau, Statistics, Amplitude, Domo, CoreMetrics, Google Analytics, and Excel.
  • Bachelor's or master's degree in computer science, statistics, mathematics, or a related quantitative field.
  • Drive significant business outcomes by leading impactful and complex data projects that align with strategic priorities.
  • Provide thought leadership by collaborating with cross-functional teams to translate complex business problems into scalable analytical frameworks.
  • Serve as the organization's subject matter expert on advanced statistical analysis, experimental design, and financial impact analysis.
  • Lead root cause analyses for critical business metrics and facilitate discussions with senior stakeholders to prioritize optimization strategies.
  • Architect and implement automation solutions for analytical processes to improve scalability and efficiency.
  • Lead the development of data product requirements, dashboards, and automated reporting solutions.
  • Partner with Business Intelligence engineering teams to drive immediate data initiatives and the long-term vision.
  • Independently identify opportunities for improvement, initiate projects, and lead them to successful outcomes.
  • Deliver compelling presentations to cross-functional teams and executive leadership to showcase data-driven insights.

PythonSQLTableauData engineeringData analytics

Posted 5 days ago
Apply
Apply

📍 United States

🧭 Full-Time

💸 35.0 - 55.0 USD per hour

🔍 Federal and DoD technology and services

🏢 Company: INTECON

  • Bachelor’s degree in Data Analytics, Statistics, Communications, Marketing, Business Intelligence, or related field.
  • 3+ years of experience in data analytics or communications analytics.
  • Expertise in data visualization and reporting tools like Google Analytics, Tableau, Power BI.
  • Strong understanding of digital marketing metrics and social media engagement analytics.
  • Exceptional data storytelling abilities for non-technical audiences.
  • Experience in survey design and audience segmentation.
  • Knowledge of statistical methods and quantitative data analysis techniques.
  • Experience with CRM systems for stakeholder engagement tracking.
  • Ability to manage multiple projects with accuracy and timeliness.
  • Develop and maintain metrics dashboards for communication initiatives across various platforms.
  • Create and manage a comprehensive stakeholder engagement database.
  • Analyze data to evaluate effectiveness of communication strategies.
  • Collaborate with the StratComm team on KPIs.
  • Identify trends and recommend improvements.
  • Conduct audience research and surveys.
  • Develop data-driven reports and present findings.
  • Provide guidance on content strategy and campaign targeting.
  • Stay updated on emerging trends in data analytics.
  • Ensure data integrity and compliance with regulations.
  • Collaborate with teams to align strategies.
  • Provide training on data-driven decision-making.

SQLData AnalysisMicrosoft Power BIGoogle AnalyticsTableauData visualizationCRM

Posted 5 days ago
Apply
Apply
🔥 Lead Data Analyst
Posted 6 days ago

📍 United States

🧭 Full-Time

💸 124500.0 - 183500.0 USD per year

🔍 Consumer internet and mobile applications

🏢 Company: Life360👥 251-500💰 $33,038,258 Post-IPO Equity about 2 years ago🫂 Last layoff about 2 years agoAndroidFamilyAppsMobile AppsMobile

  • 6+ years of experience in data analytics, particularly within consumer internet, mobile, or digital products.
  • Proficient in SQL, Python/R, and cloud analytics technologies (MySQL, AWS, Presto, Athena, Redshift, Hive, Teradata).
  • Strong grasp of statistical concepts and data wrangling.
  • Ability to effectively present data-driven insights to diverse audiences using visualization tools like Tableau.
  • Proven project management capabilities and a track record of leading analytics projects.
  • Degree in Computer Science, Statistics, Informatics, Information Systems, or related field.
  • Develop a comprehensive understanding of our products and customers, focusing on driving Device growth through data-driven insights.
  • Drive a culture of rigorous experimentation via A/B testing to identify new opportunities and optimize user experience.
  • Collaborate with the Data Engineering team to ensure data availability and integrity for analytics.
  • Contribute internally and externally to the development of the Life360 Data Analytics brand.

AWSPythonSQLData AnalysisTableauData visualizationA/B testing

Posted 6 days ago
Apply
Apply

📍 U.S.

🔍 Real estate technology

  • Proficiency in SQL.
  • Proficiency in a statistical programming language (Python or R).
  • 5+ years of analytics experience with robust understanding of statistical concepts.
  • Experience working with BI tools (Sigma, Tableau, SiSense, Hex, or Looker).
  • Experience building predictive and forecasting models.
  • Proficiency in platforms like Google Ads, GSC, GBP, GA4, Facebook Ads Manager, and LinkedIn.
  • Experience with paid media and paid search marketing teams.
  • Ability to work independently and lead projects.
  • Capability to handle multiple stakeholders and prioritize competing requests.
  • Skill in communicating technical concepts to various audiences.
  • Own performance marketing analytics, working with client marketing product teams to analyze and improve marketing outcomes.
  • Deliver recommendations and actionable insights to key stakeholders to help drive revenue.
  • Solve difficult problems through novel data solutions and analytics.
  • Support the development of predictive models for strategic and operational initiatives.
  • Build dashboards, data products, and ad hoc report studies to analyze and present data.
  • Create production-ready data models and schemas using DBT to support downstream analytics.

PythonSQLBusiness IntelligenceData AnalysisMachine LearningSnowflakeTableauData modeling

Posted 11 days ago
Apply