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Business Intelligence Analyst
Posted over 1 year agoViewed
📍 Location: Us and canada only
💸 Salary: $90,000 usd to $110,000 usd annually
🔍 Industry: Game industry
🗣️ Languages: English
Requirements:
Bachelor's degree in an analytical discipline, 2+ years of experience in data/financial analytics or business intelligence roles, 3+ years of sql, 3+ years of reports and dashboards development in a bi tool, strong business acumen, experience with etl scripts, experience with financial and business management reportingResponsibilities:
Subject matter expert in marketing and financial analytics, own business data reportingApplyRelated Jobs
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- Bachelors and/or Masters degree in Mathematics, Business, Computer Science, or Economics preferred but can be substituted with relevant work experience.
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📍 Argentina, Brazil, Mexico
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PythonSQLBusiness IntelligenceETLSnowflakeTableauFinancial ManagementAccountingData visualizationFinancial analysisData modelingFinanceData analyticsData management
Posted 12 days ago
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Posted 15 days ago
📍 Albania, Bosnia and Herzegovina, Croatia, Czech Republic, Estonia, Greece, Georgia, Kosovo, Latvia, Lithuania, Moldova, Montenegro, North Macedonia, Poland, Portugal, Romania, Slovakia, Malta, Slovenia, Serbia, Cyprus, Bulgaria, Hungary, Netherlands, the United Kingdom, and South Africa
🧭 Full-Time
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🔍 E-Commerce
🏢 Company: Foxelli Group👥 51-100Digital MarketingE-CommerceMarketing
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- Familiarity with data privacy laws and best practices for data governance and security.
- Skilled in setting up automated performance monitoring and alerts for site issues or metric shifts.
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- Analyze data to identify trends, patterns, and insights related to customer behavior, sales, inventory, and website traffic.
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- Provide rapid response analyses and recommendations to address shifts or problems in site performance.
SQLBusiness IntelligenceData AnalysisData MiningETLGoogle AnalyticsTableauREST APICommunication SkillsAnalytical SkillsProblem SolvingJSONData visualizationData modelingA/B testing
Posted 15 days ago
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🔥 Salesforce Business Intelligence Analyst
Posted 18 days ago
💸 100000.0 - 120000.0 USD per year
🔍 Software Development
🏢 Company: Chartbeat, Inc.
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- Proficiency in Salesforce CRM Analytics preferred, experience with other BI tools like Tableau, Power BI, or similar can suffice for the right candidate.
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Posted 18 days ago
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🔥 Business Intelligence Analyst III
Posted 18 days ago
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🏢 Company: Sift Healthcare👥 11-50💰 $20,000,000 Series B 11 months agoArtificial Intelligence (AI)Information ServicesPredictive AnalyticsInsurTechHealth CareFinTechSoftware
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- Three (3) plus years of experience creating dashboards and ad hoc reports
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Posted 18 days ago
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🔥 Treasury Business Intelligence Analyst
Posted 18 days ago
📍 UK&I
🧭 Full-Time
💸 28300.0 - 63650.0 USD per year
🔍 Finance
🏢 Company: Remote👥 1001-5000💰 $300,000,000 Series C almost 3 years ago🫂 Last layoff over 2 years agoHuman Resources Services
- Bachelor’s or Master’s degree in Finance, Economics, Data Science, Business Analytics, or a related field.
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- Strong presentation and communication skills, with the ability to simplify complex financial concepts.
- Develop advanced FX analytics models to assess currency risk, exposure, and hedging effectiveness.
- Conduct deep-dive data analysis on FX positions, trading activity, and market trends to support risk-adjusted decision-making.
- Use predictive analytics and machine learning techniques to model FX fluctuations and improve hedging strategies.
- Drive scenario analysis and stress testing on currency movements to mitigate risk exposure.
- Build robust methodologies to optimize FX forecasting and cash flow predictions, helping reduce transaction costs and enhance liquidity planning.
- Develop interactive dashboards and self-service BI tools (SQL) to provide real-time FX exposure insights.
- Lead treasury innovation initiatives by implementing new data solutions, machine learning models, artificial intelligence or alternative data sources to gain competitive advantages.
- Automate FX reporting, reconciliations, and position tracking, ensuring treasury has accurate and timely data for strategic decision-making.
- Identify inefficiencies in FX workflows, trading execution, and hedging operations, and propose data-backed improvements.
- Partner with Treasury, Finance, and IT teams to enhance data integration between Treasury Management Systems (TMS), ERP platforms, and market data sources.
- Lead treasury innovation initiatives by implementing new data solutions, machine learning models, or alternative data sources to gain competitive advantages.
- Drive strategic FX recommendations based on market trends, trading behaviors, and economic conditions.
- Act as a key partner in optimizing FX hedging strategies and cost reduction initiatives, ensuring treasury is delivering maximum value to the organization.
- Collaborate with senior leadership to translate analytical findings into actionable business strategies and ensure alignment with corporate objectives.
- Advocate for a data-driven treasury culture, enhancing visibility into FX exposures.
- Work with finance, risk, and compliance teams to enhance regulatory reporting and FX risk management frameworks.
PythonSQLBusiness IntelligenceData AnalysisData MiningMachine LearningTableauFinancial ManagementAlgorithmsData StructuresCommunication SkillsAnalytical SkillsAccountingRisk ManagementData visualizationFinancial analysisData modelingFinanceData analytics
Posted 18 days ago
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🔥 Treasury Business Intelligence Analyst
Posted 18 days ago
📍 EMEA
🧭 Full-Time
💸 28300.0 - 63650.0 USD per year
🔍 Finance
🏢 Company: Remote - Referral Board
- Bachelor’s or Master’s degree in Finance, Economics, Data Science, Business Analytics, or a related field.
- Proven experience in treasury analytics, FX trading, risk management, or business intelligence.
- Strong analytical mindset with the ability to translate complex datasets into clear, actionable insights.
- Advanced experience with Power BI, Tableau, or SQL to develop treasury-focused analytics.
- Knowledge of FX markets, currency risk, hedging instruments, and macroeconomic drivers.
- Knowledge of financial derivatives, interest rate risk, and corporate hedging strategies.
- CFA, CTP, FRM, or similar certifications are a plus.
- Experience in a corporate treasury function, financial services, or multinational environment.
- Ability to influence senior management through data-driven storytelling.
- Strong presentation and communication skills, with the ability to simplify complex financial concepts.
- Develop advanced FX analytics models to assess currency risk, exposure, and hedging effectiveness.
- Conduct deep-dive data analysis on FX positions, trading activity, and market trends to support risk-adjusted decision-making.
- Use predictive analytics and machine learning techniques to model FX fluctuations and improve hedging strategies.
- Drive scenario analysis and stress testing on currency movements to mitigate risk exposure.
- Build robust methodologies to optimize FX forecasting and cash flow predictions, helping reduce transaction costs and enhance liquidity planning.
- Develop interactive dashboards and self-service BI tools (SQL) to provide real-time FX exposure insights.
- Lead treasury innovation initiatives by implementing new data solutions, machine learning models, artificial intelligence or alternative data sources to gain competitive advantages.
- Automate FX reporting, reconciliations, and position tracking, ensuring treasury has accurate and timely data for strategic decision-making.
- Identify inefficiencies in FX workflows, trading execution, and hedging operations, and propose data-backed improvements.
- Partner with Treasury, Finance, and IT teams to enhance data integration between Treasury Management Systems (TMS), ERP platforms, and market data sources.
- Lead treasury innovation initiatives by implementing new data solutions, machine learning models, or alternative data sources to gain competitive advantages.
- Drive strategic FX recommendations based on market trends, trading behaviors, and economic conditions.
- Act as a key partner in optimizing FX hedging strategies and cost reduction initiatives, ensuring treasury is delivering maximum value to the organization.
- Collaborate with senior leadership to translate analytical findings into actionable business strategies and ensure alignment with corporate objectives.
- Advocate for a data-driven treasury culture, enhancing visibility into FX exposures.
- Work with finance, risk, and compliance teams to enhance regulatory reporting and FX risk management frameworks.
PythonSQLBusiness IntelligenceData AnalysisData MiningMachine LearningTableauData engineeringRisk ManagementData visualizationFinancial analysisData modelingData analytics
Posted 18 days ago
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🔥 Business Intelligence Analyst
Posted 22 days ago
📍 Philippines
🧭 Full-Time
💸 16640.0 USD per year
🔍 Retail Security
🏢 Company: Panoptyc👥 1-10ElectronicsArtificial Intelligence (AI)Information Technology
- Minimum of 3 years of experience as a BI Analyst
- Advanced knowledge of SQL and BI tools like Power BI, Google Looker
- Strong analytical and problem-solving skills with a keen attention to detail
- Experience working with data warehouses and ETL processes
- Ability to work independently in a fast-paced, remote environment
- Strong verbal and written communication skills for effective collaboration with executives and corporate leaders
- Availability to work 40 hours per week on Eastern Standard Time (EST)
- Wrangle, visualize, and analyze gathered data from data warehouses
- Create accurate reports and derive actionable insights that explain business data trends
- Maintain data integrity and ensure the security of sensitive business information
- Coordinate with engineering and cross-functional teams to align on data projects
- Develop and optimize BI dashboards for key stakeholders
- Identify opportunities for process automation and efficiency improvements using data
SQLBusiness IntelligenceData AnalysisETLAnalytical SkillsData visualizationData modeling
Posted 22 days ago
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🔥 Senior Business Intelligence Analyst
Posted about 1 month ago
📍 Latin America
🧭 Full-Time
💸 45000.0 - 60000.0 USD per year
🔍 Fundraising
🏢 Company: Donorbox👥 51-100CrowdfundingNon ProfitSoftware
- 7+ years of experience in business intelligence, data analytics, or a similar field.
- Excellent verbal and written communication skills in English.
- Expert-level knowledge of statistics- you never mistake correlation for causation. Even if you try ;)
- Self-motivated team player, able to work independently and collaboratively in a fast-paced environment, adapting to evolving team needs.
- Ability to translate data into actionable insights and present findings to non-technical stakeholders.
- Customer-oriented approach with a focus on providing excellent service.
- Very comfortable with SQL.
- Excellent pragmatism in analyzing metrics, with the ability to distinguish between valuable, actionable metric and mere trivia.
- Act as a translator between data and business objectives, describing and connecting product metrics to company's OKRs and KPIs.
- Work closely with product, business, and engineering teams to gather requirements and define key metrics for success.
- Request and define new measurements from other teams, providing clear explanations and connections to the company OKRs.
- Develop and monitor strategic KPIs that align with organizational OKRs, ensuring they are actionable and results-oriented.
- Analyze platform performance data to identify trends, patterns, and areas for improvement.
- Define measurements, metrics, and tools for measuring the products.
- Design, develop, and maintain interactive dashboards for tracking KPIs and key data points.
- Provide regular insights and reports to stakeholders, enabling informed, data-driven decision-making.
- Identify bottlenecks and inefficiencies in metric tracking and reporting processes, proposing innovative solutions to enhance accuracy
- Ensure data integrity and accuracy across all reporting tools and systems.
- Partner with leadership to align product analytics with broader business goals and OKRs.
- Contribute to defining and refining the long-term data strategy of the company.
SQLBusiness IntelligenceData AnalysisData visualization
Posted about 1 month ago
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