Business Intelligence Jobs

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Business Intelligence
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📍 LATAM

🧭 Full-Time

🔍 Telecommunications

  • 5+ years in Oracle PL/SQL, Snowflake Data Warehouse, ELT/ETL design, and Business Intelligence development.
  • BS/MS in Computer Science, Information Systems, or a related technical field.
  • Very good or excellent English communication skills.
  • Understand Business Intelligence and Data warehousing concepts.
  • Experience with reporting/visualization tools is a plus.
  • Familiarity with JIRA for support ticket management.
  • Strong data analysis, root cause analysis, and problem-solving skills.
  • Understanding of Software Engineering principles and Unix/Linux/Windows operating systems.
  • Experience with scripting languages like Python, Shell, JavaScript, HTML5 is a plus.

  • Provide production support to a legacy telecom system in Oracle db.
  • Support existing legacy AbInitio project and learn business logic for migration to Snowflake.
  • Develop, document, and test ELT/ETL solutions using tools like Snowflake, Denodo, Looker.
  • Recommend process improvements for ELT/ETL development efficiency.
  • Extract data from various sources and integrate into target databases using ELT/ETL.
  • Collaborate with QA to debug and ensure timely delivery.

PythonBusiness IntelligenceData AnalysisETLOracleSnowflakeJira

Posted about 2 hours ago
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🔥 Senior Expansion Analyst
Posted about 2 hours ago

📍 Warsaw, Istanbul, Rome, Barcelona, Mexico City, Bogotá, Curitiba, Rio, Munich, Berlin

🔍 Healthcare

  • 3-6 years of professional experience.
  • Fluency in English; additional languages like Spanish, Portuguese or Polish are a plus.
  • Quantitatively oriented educational background in Business, Data Science, Statistics, Math/Physics, or Finance.
  • Technical expertise in large data sets, knowledge of BI tools, and SQL.
  • Experience in SaaS and/or marketplace model, and business analysis.

  • Independently lead data analytics with a focus on MRR increase from the current customer base.
  • Support execution of cross-sell/upsell/pricing initiatives while liaising with in-market stakeholders.
  • Overall project management for selected initiatives.
  • Co-design and scale experiments related to pricing and packaging.
  • Optimize the global Expansion organization through insights from data analysis.

PythonSQLBusiness AnalysisBusiness IntelligenceData AnalysisMachine LearningTableauData modeling

Posted about 2 hours ago
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📍 United States

🧭 Full-Time

💸 100000.0 - 136800.0 USD per year

🔍 Construction field management software

  • Quantitative degree (Business Intelligence, Mathematics, Engineering, or similar).
  • 2-5 years of experience delivering actionable analytics in a complex environment.
  • Strong proficiency in SQL and experience with PowerBI reporting and dashboarding.
  • Experience with creating dynamic reporting with SAP source data.
  • Exceptional analytical skills with a track record of data-driven decision-making.
  • Excellent communication skills to convey complex data insights to non-technical stakeholders.
  • Collaborative mindset and ability to work effectively with cross-functional teams.
  • Strong project management skills with the ability to prioritize multiple tasks.
  • Familiarity with SaaS business models and understanding of sales and marketing operations.

  • Partner with GTM leadership to identify bottlenecks in processes and implement solutions.
  • Develop and maintain scalable reporting and dashboarding tools in Salesforce, PowerBI, and other platforms.
  • Analyze sales, marketing, and customer success data to provide actionable insights.
  • Support strategic planning initiatives by gathering and interpreting data to forecast performance.
  • Work with cross-functional teams to align efforts and ensure a seamless customer journey.
  • Lead initiatives to streamline workflows and enhance data quality.
  • Collaborate with IT and business systems teams to manage tools like CRM and marketing automation.

SQLBusiness IntelligenceData AnalysisSalesforceSAPData visualization

Posted 1 day ago
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📍 San Jose, CA, Draper, UT

🧭 Full-Time

💸 84900.0 - 124800.0 USD per year

🔍 Fintech

🏢 Company: BILL👥 1001-5000💰 $1,200,000,000 Post-IPO Debt about 2 months ago🫂 Last layoff about 1 year agoFinancial ServicesBillingSaaSAppsFinTech

  • 5+ years of experience in SQL, data analysis, reporting, business intelligence, and analytics/visualization solutions.
  • 3+ years experience in Payments, Trust & Safety, and/or Financial Services.
  • 3+ years experience working with risk and compliance systems related to BSA/AML, KYC, Sanctions, Fraud, Lending, etc.
  • Experience with programming in one or more languages such as Python or Java.
  • Strong analytical and technical skills.
  • Ability to work independently in a fast-paced environment.
  • Strong communication skills and attention to detail.
  • ACAMS certification preferred.
  • Prior fintech experience preferred.

  • Support BILL’s Compliance technology ecosystem for its internal and third-party tools.
  • Analyze and expand data-related requirements provided by internal and external stakeholders.
  • Design and implement repeatable and scalable solutions for data-related requirements.
  • Create self-service dashboards and analytics solutions for internal stakeholder teams.
  • Extract, transform, and analyze data from BILL source systems databases and data lakes.
  • Support Data & Analytics team to implement automation frameworks.
  • Reverse engineer and enhance existing dashboards based on updated requirements.
  • Contribute to tuning and maintenance of Compliance systems and solutions.
  • Create and enhance documentation of existing Compliance systems and processes.
  • Develop and maintain Compliance metrics on an ongoing basis.
  • Perform troubleshooting and deep-dive analysis into problems across Compliance systems.
  • Support Data & Analytics team members in designing technology accelerators.

PythonSQLBusiness IntelligenceData AnalysisETLComplianceData visualization

Posted 1 day ago
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🔥 Head of Data
Posted 2 days ago

📍 United States

🧭 Full-Time

💸 192000.0 USD per year

🔍 Nonprofit Education

🏢 Company: Merit America👥 11-50💰 about 4 years agoEducationTrainingNon Profit

  • Ability to drive decision-making through data using A/B testing, causal inference, and analytics.
  • Strong understanding of data architectures, governance, and models.
  • Expert people leader, mentor, and hiring manager.
  • Understanding of data and AI industry trends.
  • Expert understanding of Data Warehousing and SQL.
  • Knowledge of BI tools such as Hex, Looker, PowerBI.
  • Commitment to diversity, equity, and inclusion initiatives.

  • Champion a comprehensive data strategy and roadmap for learner and coach data.
  • Collaborate cross-functionally to execute the data roadmap and facilitate data input and analytics.
  • Ensure data quality and security, maintaining trust with learners.
  • Foster a strong data culture across the organization.
  • Lead the data team and invest in team members' growth.

SQLBusiness IntelligenceData AnalysisETLMachine LearningData engineeringData visualizationData modelingData analyticsA/B testing

Posted 2 days ago
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📍 Canada, UK, India

🧭 Contract

  • Bachelor’s degree in a relevant field (e.g., Data Science, Information Management, Business Analytics).
  • 4+ years of experience in data management, with a focus on data strategy and governance.
  • Familiarity with data governance frameworks, regulations, and best practices.
  • Tableau or similar certification is a strong plus.
  • Strong analytical skills to translate business needs into data solutions.
  • Excellent communication and collaboration skills.

  • Drive the execution of the organization’s data strategy in alignment with business goals.
  • Advise on the design and refinement of data architecture, systems, and processes.
  • Manage a team to enforce data governance policies, ensuring accuracy and security.
  • Collaborate with compliance teams to meet regulatory requirements.
  • Oversee data stewardship programs focused on quality and integrity.
  • Support BI Analysts in dashboard development and key insight interpretation.
  • Communicate data governance value to team members.
  • Provide guidance and mentorship to the team, fostering a collaborative environment.

Business IntelligenceTableauComplianceData analyticsData management

Posted 2 days ago
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📍 全国居住可能

🧭 正社員

🔍 フィンテック

🏢 Company: PayPay👥 1001-5000💰 $67,399,518 over 4 years agoInternetMobile PaymentsFinanceFinTech

  • 要員計画や人件費に関する分析およびシミュレーションの経験(3年以上)
  • データ分析ツールやBIツールを用いたデータ集計・分析のスキル
  • 人材マネジメントやコスト管理に関する知識と経験
  • 高いコミュニケーションスキルとチームワーク能力

  • 要員計画・人件費シミュレーション分析の推進
  • 各部門から提供されるデータをもとに、将来の要員計画や人件費シミュレーションを行う。
  • シナリオ作成やコスト分析を通じて、経営層への意思決定をサポートする。
  • 組織全体の人件費構造を詳細に分析し、効率的なコスト管理や最適な人員配置を提案する。
  • Workday HCMやWorkday Adaptiveの利用によるシステム連携・運用改善を行う。
  • 社内の分析基盤やBIツールを用いて、要員や人件費に関するデータの収集・整理・分析を行う。

Business IntelligenceData AnalysisData MiningData visualization

Posted 2 days ago
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📍 Cyprus, Malta, USA, Armenia, Georgia, Kazakhstan, Montenegro, Poland, Latvia, Serbia, Spain, Portugal, UAE, Israel, Turkey, Thailand, Indonesia, Japan, Hong Kong, Australia

🧭 Full-Time

🔍 Social discovery and AI

🏢 Company: Social Discovery Group👥 501-1000Venture CapitalFinanceInformation Technology

  • Proficiency in Python and strong coding skills with experience in SQL.
  • Deep knowledge of statistics, including expertise in probability theory and A/B tests.
  • Understanding of key product and marketing metrics, such as LTV, CSI, retention, and conversions.
  • Familiarity with BI tools including Superset, Grafana, Power BI, etc.
  • English language proficiency at B2+ level.

  • Identifying growth opportunities by assisting in the generation, prioritization, validation, and evaluation of hypotheses to improve key product metrics.
  • Conducting A/B tests and evaluating the impact of changes using causal inference techniques.
  • Monitoring key product metrics to identify causes of anomalies and deviations.
  • Creating, updating, and improving product dashboards.
  • Collaborating with data scientists, software engineers, and product managers to integrate AI solutions into the overall product pipeline.

PythonSQLBusiness IntelligenceA/B testing

Posted 2 days ago
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📍 Brazil

🧭 Full-Time

🔍 Digital Engineering and Modernization

🏢 Company: Encora👥 10001-10001💰 $200,000,000 Private over 5 years agoBig DataCloud ComputingSoftware

  • Experience in data modeling.
  • Experience developing and maintaining data pipelines.
  • Proficiency in SQL.
  • Proficiency in Python.
  • Experience with AWS Redshift.
  • Experience with Apache Airflow.
  • Familiarity with BI tools.

  • Develop and maintain efficient and scalable data pipelines.
  • Model and transform data to meet analysis and reporting needs.
  • Collaborate closely with the customer, including BI and software engineering.
  • Lead other BI or DE team members.
  • Create and maintain detailed technical documentation.
  • Develop dashboards in AWS Quicksight with support from a BI Analyst.

PythonSQLApache AirflowBusiness IntelligenceData modeling

Posted 4 days ago
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📍 US

🔍 Technology

🏢 Company: DoiT👥 501-1000💰 $100,000,000 Series A about 5 years agoInternet of ThingsBig DataCloud ComputingRoboticsAnalyticsInformation Technology

  • 3-5 years of experience with a proven track record in a similar role in the Information technology field.
  • Bachelor's degree in business, marketing, or a related field.
  • Excellent communication skills; written, verbal, and formal presentation, with the ability to communicate confidently to senior leadership.
  • Advanced SQL skills (window functions, stored procedures, CTE’s, etc.).
  • Proficient Python skills.
  • Knowledge of data types and database structures (BigQuery familiarity is a plus).
  • Proficient in general Go-to-Market (GTM) principles and strategies.
  • Thorough understanding of digital marketing data including lead generation, lead lifecycles, web analytics, A/B testing, Paid Advertising, and attribution models.
  • Advanced proficiency with business intelligence tools (Looker, Power BI, Tableau).

  • Present and translate complex information in relevant business terms.
  • Collaborate with regional marketing and digital marketing teams to provide performance analysis and identify improvement opportunities.
  • Regularly create, edit, and improve complex SQL queries for data extraction and automation.
  • Utilize Looker, SQL, and Python to develop ad hoc reports that are digestible and relevant.
  • Provide data for full funnel analysis, nurture campaign performance, and campaign ROI focusing on optimization.
  • Develop robust and insightful reports to communicate performance of sales teams, marketing events, business development, and customer lifecycles.

PythonSQLBusiness IntelligenceData AnalysisDigital Marketing

Posted 4 days ago
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