Role at a glance
- Job function
-
AI & Data Data Analytics
- Salary
- Not Disclosed
- Location
- Belen
- Work arrangement
- Hybrid
- Employment
- Full-time
- Experience
- Senior Level 4+ years of experience working in data-driven environments delivering analytics, reporting, or business intelligence solutions.
- Education
- Bachelor’s degree in a relevant field (e.g., Data Science, Statistics, Computer Science) or equivalent practical experience.
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Role Summary
The Business Intelligence Engineer designs, delivers, and maintains scalable reporting and analytics solutions that enable data-informed decision-making. The role covers the analytics lifecycle, from translating business requirements and ensuring data quality to developing automated dashboards and analytical solutions.
What You'll Do
- Own end-to-end delivery of business intelligence solutions, ensuring accuracy, reliability, and timely availability of data products.
- Partner with cross-functional stakeholders to gather requirements and iteratively refine dashboards and reports.
- Design, build, and maintain dashboards and recurring reports that provide actionable insights.
- Monitor and manage data workflows to ensure seamless refresh cycles and proactively resolve data disruptions.
- Implement and enforce data quality controls to ensure consistency, completeness, and trust in reporting outputs.
- Automate manual reporting processes, including converting spreadsheet-based reporting into scalable dashboards.
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
A bachelor's degree or equivalent practical experience, 4+ years in analytics or BI, and SQL and dashboard skills.
Required
- Bachelor’s degree in a relevant field (e.g., Data Science, Statistics, Computer Science) or equivalent practical experience.
- 4+ years of experience working in data-driven environments delivering analytics, reporting, or business intelligence solutions.
- Experience using SQL to query, transform, and analyze complex datasets.
- Experience designing and delivering dashboards using data visualization tools (e.g., Tableau, PowerBI, Data Studio).
- Strong experience working with large datasets in Excel or Google Sheets, including automation and advanced analysis.
- Proven ability to translate business requirements into analytical solutions and communicate insights to technical and non-technical...
- Experience with data quality assurance validation or assessments.
- Familiarity with ETL and automation concepts supporting analytics workflows.
Preferred
- Working knowledge of at least one cloud data warehouse (e.g. BigQuery, Snowflake, Redshift).
- Working knowledge of sales SaaS tools (e.g. SalesForce, SAP, Oracle, Zoho).
- Working knowledge of Sales Business practices.
- At least 1+ years of team leadership or data mentor for peers in your team.
- Familiarity with Git-based workflows for analytics code (branching, pull requests, code review).
Original job description
Content provided by the employer
Original job description
Content provided by the employer
Accenture is a leading solutions and services company that helps the world’s leading enterprises reinvent by building their digital core and unleashing the power of AI to create value at speed across the enterprise, bringing together the talent of our approximately 786,000 people, our proprietary assets and platforms, and deep ecosystem relationships. Our strategy is to be the reinvention partner of choice for our clients and to be the most client-focused, AI-enabled, great place to work in the world. Through our Reinvention Services we bring together our capabilities across strategy, consulting, technology, operations, Song and Industry X with our deep industry expertise to create and deliver solutions and services for our clients. Our purpose is to deliver on the promise of technology and human ingenuity, and we measure our success by the 360° value we create for all our stakeholders. Visit us at accenture.com.
Role Overview
The Business Intelligence Engineer designs, delivers, and maintains scalable reporting and analytics solutions that enable data-informed decision-making. The role works across the end-to-end analytics lifecycle, from translating business requirements and ensuring data quality to developing automated dashboards and analytical solutions that identify trends and opportunities
Key Responsibilities
- Own the end-to-end delivery of business intelligence solutions, ensuring accuracy, reliability, and timely availability of data products.
- Partner with cross-functional stakeholders to gather requirements, translate business questions into analytical solutions, and iteratively refine dashboards and reports.
- Design, build, and maintain dashboards and recurring reports that provide actionable insights and support operational and strategic decisions.
- Execute ad hoc data analyses to support business inquiries, experiments, and special initiatives.
- Monitor and manage data workflows to ensure seamless refresh cycles and proactively resolve data disruptions.
- Implement and enforce data quality controls to ensure consistency, completeness, and trust in reporting outputs.
- Transform reporting from descriptive and diagnostic views toward more proactive and predictive analytics where applicable.
- Automate manual reporting processes, including the conversion of spreadsheet-based reporting into scalable dashboards built on modern data-stack tooling (e.g., dbt, Looker, cloud data warehouses such as BigQuery, Snowflake or Redshift).
- Collaborate with data governance and adjacent data teams to align with best practices and maintain data integrity.
- Contribute to project planning and execution by managing scope, risks, dependencies, and delivery milestones.
- Provide guidance and support to team members by clarifying requirements, removing delivery roadblocks, and promoting effective collaboration across time zones.
- Communicate project status, risks, and insights clearly to stakeholders, fostering strong and trusted working relationships
Required Experience
- Bachelor’s degree in a relevant field (e.g., Data Science, Statistics, Computer Science) or equivalent practical experience.
- 4+ years of experience working in data-driven environments delivering analytics, reporting, or business intelligence solutions.
- Experience using SQL to query, transform, and analyze complex datasets.
- Experience designing and delivering dashboards using data visualization tools (e.g., Tableau, PowerBI, Data Studio).
- Working knowledge of at least one cloud data warehouse (e.g. BigQuery, Snowflake, Redshift) is preferred.
- Strong experience working with large datasets in Excel or Google Sheets, including automation and advanced analysis.
- Proven ability to translate business requirements into analytical solutions and communicate insights to technical and non-technical audiences.
- Experience with data quality assurance validation or assessments.
- Familiarity with ETL and automation concepts supporting analytics workflows.
- Experience working within Agile delivery methodologies.
- Experience communicating analytical findings to technical and non-technical stakeholders.
Desired Experience
- Working knowledge of sales SaaS tools (e.g. SalesForce, SAP, Oracle, Zoho).
- Working knowledge of Sales Business practices.
- At least 1+ years of team leadership or data mentor for peers in your team.
- Familiarity with Git-based workflows for analytics code (branching, pull requests, code review) is preferred.
What we offer
- Health and Life Insurance
- Accenture days, 3 additional vacation days
- On site doctor
- Birthday leave
- Internet reimbursement
About Accenture
Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.Visit us at www.accenture.com
Equal Employment Opportunity Statement
We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, military veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.
About the company
Accenture
Large Enterprise
Accenture is a global professional services company that specializes in providing consulting, technology, and outsourcing services. With a diverse range of industries served, including financial services, healthcare, and telecommunications, Accenture leverages advanced technologies and data analytics to help organizations improve their performance and drive innovation. Committed to sustainable progress, the company emphasizes its dedication to inclusivity, digital transformation, and building a more sustainable future for its clients and communities. With a presence in over 120 countries, Accenture is known for its expertise in integrating cutting-edge solutions that address complex business challenges.