Business Intelligence Analyst

Overview The mission of the business intelligence team is to create a data-driven culture which empowers leaders to integrate data into daily decisions and strategic planning. We aim to provide visibility, transparency, and guidance regarding the quantity and quality of results, activities, financial KPIs, and leading indicators to easily identify trends aimed at data-based decision-making. Position Objective The purpose of this role is to partner with the Regional and global BI customers within RSR (who can include but not limited to Data engineering, BI Support Teams, Operational Teams, Internal teams and RSR clients) and provide business solutions through data. This position has operational and technical responsibility for reporting, analytics, and visualization dashboards across all operating companies within RSR. This position will develop processes and strategies to consolidate, automate, and improve reporting and dashboards for external clients and internal stakeholders. As a Business Intelligence Partner you will be responsible for overseeing the end to end delivery of regional and global account and client BI reporting. This will include working with data engineering to provide usable datasets, create dashboards with meaningful insights & visualizations within our BI solution (DOMO) and ongoing communication and partnering with the ‘BI consumers’. The key to this is as a Business Intelligence Partner you will be a commercial and operational expert with the ability to translate data into insights. You will use this to mitigate risk, find operational and revenue generating opportunities and provide business solutions. Position Summary Implementation Be the implementation work stream lead responsible for delivering a reporting suite and introductory standard for the account and client. Responsible for ensuring all contractual conditions around reporting, financial elements, SLA's and KPI's are reviewed, understood and adhered to Assess operating reality to validate solution requirements and adjust as needed Implement and reinforce tools including standards, procedures, and documentation Oversee the design and build of insightful, scalable, and actionable visualizations Build, implement, and schedule production standards of files and reports to ensure accuracy and timeliness. SQL AND TABLEAU ARE A MUST Ensure reporting quality and accuracy by evaluating, integrating, and complementing data sources Execute continuous process improvement process Knowledge of general database functions, data storage, data models, SQL, and data transfer protocols Responsible for being the liaison between the consumers/ops teams and the data engineering teams Using client data and insights to highlight and provide observations, provide recommendations and contribute to ongoing business discussions and decision making. Solicit feedback from internal and external stakeholders in an organized manner to contribute to the objectives of the BI team and demonstrate RSR value. Develop strong working relationships with the client stakeholders and account leads. Serve as a functional and technical data visualization and business intelligence subject matter expert. Work within the agreed parameters aligned to the global method of BI production Leverage an agile work environment to incorporate new innovative and value add components to existing portfolios Education Master\'s degree is preferred, or a Bachelor degree with two+ years of relevant experience (on top of the years of experience required for the role mentioned in the section below) Experience Project Management and/or process improvement experience highly preferred MI/Business Intelligence/Data Science/Analytics background is essential Talent Acquisition/MSP/RPO/People Analytics experience is preferred 3-5 years’ experience in a similar role SQL AND TABLEAU ARE A MUST Knowledge, Skills, and Abilities Excellent communication and facilitation skills required for various levels throughout external and internal organizations Excellent working knowledge of Google products, and visualization tools like Data Studio, Domo, Tableau, etc Ability to prioritize and manage multiple projects, tasks, and meeting deadlines while maintaining quality Ability to synthesize and analyze information and ideas Ability to create meaningful insights and metrics that aligned to business priorities and objectives Data visualization preferred; ability to analyze data and translate it to non tech (layman’s) people. Ability to write Intermediate SQL scripts Experience in data pipeline creation, quality improvement and analysis to provide teams with actionable insights, informing strategy, impact and investments. Extensive experience technical client service (i.e. consulting experience). Excellent problem-solving and analytical skills with attention to detail and a well-organized, structured approach to work. Preferred Experience: Experience in the recruitment industry (e.g. MSP/RPO) and/or B2B marketing Experience with Data Studio, Domo and GCP Ability to turn ambiguous information and unstructured challenges into insights, plans and recommendations in a constantly evolving environment. Ability to mine data, improve and develop new data sources (including attribution) and translate data into actionable recommendations and compelling stories. Senior Data Analyst – AI & Generative AI Analytics Location: LATAM (Remote) Deseable We’re looking for a Data Analyst to support Planning Operations and drive data-based decision-making across LATAM. The role involves analytics, S&OP support, and cross-functional collaboration to improve business performance and efficiency. Key Responsibilities Collect, clean, and analyze large datasets to generate actionable insights. Develop dashboards and KPIs reports using Looker or Power BI. Support S&OP and risk scenario planning for the LATAM region. Drive process improvement and cross-functional collaboration (IM, MP, Merch, Supply). Participate in regional/global projects to implement new tools and systems. About You Bachelor’s in Economics, Statistics, Data Science, or related field (Master’s a plus). 3+ years of experience in analytics or planning (retail/fashion a plus). Strong SQL and data visualization skills (Power BI from scratch, Looker). Experience with Looker is mandatory. 3+ years of experience in extracting and manipulating large data sets from various relational databases using SQL (Google BigQuery, MS SQL, dbt). Knowledge of Python or R preferred. Excellent communication skills in English and Spanish. Based in Mexico (Hybrid) Only resumes in English will be considered Whitehall Resources are currently looking for a Data Analyst/Business Translator based in Mexico City for an initial 6 month contract. Role Overview: We are seeking a Business Translator to support our client. The professional will act as a bridge between the Marketing (MKT) business teams and the Consumer Data (CD) team, translating business requirements into actionable insights for the technical team. This role requires strong analytical skills, project coordination, and effective stakeholder communication. Key Responsibilities: Collaborate with Marketing and CD teams to gather, clarify, and translate business requirements. Work closely with the technical team to ensure accurate implementation of insights and data-driven solutions. Analyze data and support reporting or insights generation to inform business decisions. Manage stakeholder communication and provide project updates. Contribute to process improvements and facilitate knowledge sharing between business and technical teams. Required Skills & Qualifications: Experience in data analysis and project management. Ability to communicate effectively with both business and technical teams. Knowledge of CPG (Consumer Packaged Goods) or retail industry is desirable. Reside in Mexico City (Federal District). Technology: Proficiency with Azure Databricks (DBR) or similar cloud-based platforms. Role Title: Data Operations Analyst (Remote in MX) Employment Type: Contract-to-Hire/Contract-to-Full Time Duration: 3 months contract, then converts to Full Time Preferred Location: Remote in Mexico Role Description We are seeking a curious, growth-minded Junior DataOps Engineer to support and monitor our data platform. You\'ll gain hands-on experience with Snowflake, dbt, and Python while learning to take ownership of your work. Key Responsibilities Monitor & Respond: Track pipelines, investigate failures, and log issues. Support Users: Troubleshoot tickets and resolve data-related questions. Data Ingestion: Ensure timely and accurate daily data loads. Learn & Automate: Build Python scripts to automate checks and repetitive tasks. Documentation: Record known errors and solutions for the team. Skill Growth: Learn the stack to take on more complex engineering tasks over time. Requirements Experience: 0-2 years (internships, bootcamps, personal projects count). Mindset: Self-starter, persistent, eager to learn, and willing to ask questions. SQL: Basic understanding (joins, aggregations, filtering) to query and validate data. Python: Working knowledge; comfortable reading code and learning modern practices (3.10+). Troubleshooting: Can logically identify the source of errors. Ownership: Follows through to fully resolve issues. Nice to Have Exposure to Snowflake (labs or certifications). SnowPro Core certification or willingness to obtain within 6 months. Basic Git/version control and command-line familiarity. Role Title: Senior Data Operations Analyst (Remote in MX) Employment Type: Contract-to-Hire/Contract-to-Full Time Duration: 3 months contract, then converts to Full Time Preferred Location: Remote in Mexico Role Description: We are seeking a Senior DataOps Engineer to ensure the stability, quality, and timeliness of our Snowflake data platform. You will own monitoring, incident response, and operational support while automating manual tasks to improve reliability. Key Responsibilities Pipeline Monitoring: Track ELT/ETL pipelines and dbt jobs; identify and address delays or failures proactively. Incident Response: Troubleshoot SQL, Python, or ingestion issues and restore service quickly. Data Ingestion: Ensure timely, accurate data from multiple sources; validate quality metrics. User Support: Manage tickets (Jira/ServiceNow) for access, queries, and data issues. Automation: Build Python scripts to automate maintenance, alerts, and validations. CI/CD Deployment: Assist with smooth code/dbt releases and quick rollbacks. Root Cause Analysis: Document incidents and implement solutions to prevent recurrence. Requirements: Required Skills & Qualifications Operational Experience: DataOps, SRE, or production support background. SQL: Strong skills for debugging and validating data issues. Python: Proficient in scripting and automation (3.10/3.11 preferred). Troubleshooting: Analytical mindset to trace errors across logs, code, and data lineage. Snowflake: Familiarity with virtual warehouses, history tables, and query profiles. Communication: Clear with technical teams and business users on issues. Agility: Adaptable in a lean team; quick to learn new observability tools. Preferred Qualifications Familiarity with data observability tools (Monte Carlo, Datadog, alerts). Experience with Git and CI/CD pipelines. Senior Data Operations Analyst – Snowflake (Contract-to-Hire) Role Title: Senior Data Operations Analyst – Snowflake (Contract-to-Hire) Employment Type: Contract-to-Hire Duration: 3 months, with potential extension Location: Remote (Mexico) About the Role: We’re looking for a hands-on Senior DataOps Engineer to ensure the stability, reliability, and timeliness of our Snowflake data platform . You’ll own pipeline monitoring, incident response, and operational support, while automating manual tasks to improve efficiency and data quality. What You’ll Do: Monitor Pipelines: Track ELT/ETL workflows and dbt jobs, proactively identifying delays or failures. Incident Response: Troubleshoot SQL, Python, or ingestion issues and restore service quickly. Ensure Data Quality: Validate timely, accurate data from multiple sources and track quality metrics. User Support: Manage tickets (Jira/ServiceNow) for access requests, queries, and data issues. Automation: Develop Python scripts to automate maintenance, alerts, and validations. CI/CD Support: Assist with smooth dbt/code releases and quick rollbacks. Root Cause Analysis: Document incidents and implement solutions to prevent recurrence. What We’re Looking For: Operational Experience: Background in DataOps, SRE, or production support. SQL: Strong skills for debugging and validating data issues. Python: Proficient in scripting and automation (Python 3.10/3.11 preferred). Troubleshooting: Analytical mindset to trace errors across logs, code, and data lineage. Snowflake: Familiarity with virtual warehouses, history tables, and query profiling. Communication & Agility: Able to clearly work with technical teams and business users, adapt quickly in a lean environment. Bonus Skills: Familiarity with observability tools (Monte Carlo, Datadog, alerting) Experience with Git and CI/CD pipelines Why This Role is Exciting: You’ll be at the heart of keeping a modern data platform running smoothly , solving real-time challenges, and building automation that directly improves the reliability and efficiency of analytics for the organization. Rol Deseable #J-18808-Ljbffr