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Business Intelligence Engineer (Full Stack)

Are you passionate about the chance to bring your experiences in data analysis, data mining and business intelligence to a world class organization that is leading the way in both content and technology to serve and protect our citizens home and abroad? Do you have leading edge technical and analytical skills necessary to understand and visualize large data holdings to contextualize value to internal and external stakeholders? Then TRSS is looking for you! 
 

What You’ll Do: As a BI Engineer you will support our business development stakeholders, clients and Data Organization by answering complex data questions and mining data insights from our robust warehouse that contains billions of entities, attributes and relationships. You will analyze, identify and surface data coverage metrics, gaps and strengths from our Data Platform. You will discover valuable trends and patterns that will help answer our clients most pressing problems and support their missions. A successful candidate has extensive experience in SQL, data mining and data exploration, is self-motivated, and excels at working both independently and on dynamic, cross-functional teams. 

 

About the role: As a BI Engineer you will contribute to a variety of technical and operational areas by: 

  • Analyzing large, complex data sets to identify patterns and connections that provide insights to support client objectives as well as overall data strategy. 

  • Write complex, optimized SQL queries to extract, manipulate, and analyze data from various databases. 

  • Collaborate with stakeholders to understand data requirements and sophisticated use cases, translate into data mining queries and deliver relevant solutions. 

  • Communicate findings and recommendations to technical and non-technical audiences. 

  • Document data analysis processes and findings. 

 

About You:  You’re a good fit for the role of Business Intelligence Engineer if you have: 

  • A bachelor’s or master’s degree in a data or quantitative field (e.g. data analytics, data science, computer science, data engineering). 

  • 3-5 years of experience working as a Data Scientist, Business Intelligence Analyst, Data Engineer, or equivalent role. 

  • Love data, data exploration and discovering new data connections, trends and insights.  

  • Advanced, hands-on proficiency in complex SQL for data querying and manipulation. 

  • Knowledge of JavaScript, Python or other scripting tools. 

  • Understanding of Artificial Intelligence, Machine Learning, Natural Language Processing concepts and technologies. 

  • Be able to independently research issues and quickly learn new tools with little guidance.  

  • Proven experience in data analysis and interpretation. 

  • Solid understanding of data warehousing concepts and technologies. 

  • Excellent analytical and problem-solving skills. 

  • Strong communication and collaboration skills, with the ability to explain technical concepts to non-technical stakeholders. 

  • Self-driven, with proven ability and discipline to work independently with a distributed development team in multiple time zones. 

  • Ability to obtain and maintain a U.S. national security clearance 

  • Nice to have: Experience with Snowflake

  • #LI-SW1 

What's in it For You?


You will join our inclusive culture of world-class talent, where we are committed to your personal and professional growth through:

  • Wellbeing: Comprehensive benefit plans; flexible and supportive benefits for work-life balance: flexible vacation, two company-wide Mental Health Days Off; work from another location for up to a total of 8 weeks in a year, 4 of those weeks can be out of the country and the remaining in the country, Headspace app subscription; retirement, savings, tuition reimbursement, and employee incentive programs; resources for mental, physical, and financial wellbeing.

  • Culture: Globally recognized and award-winning reputation for equality, diversity and inclusion, flexibility, work-life balance, and more.

  • Learning & Development: LinkedIn Learning access; internal Talent Marketplace with opportunities to work on projects cross-company; Ten Thousand Coffees Thomson Reuters café networking.

  • Social Impact: Ten employee-driven Business Resource Groups; two paid volunteer days annually; Environmental, Social and Governance (ESG) initiatives for local and global impact.

  • Purpose Driven Work: We have a superpower that we’ve never talked about with as much pride as we should – we are one of the only companies on the planet that helps its customers pursue justice, truth and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world.

In the United States, Thomson Reuters offers a comprehensive benefits package to our employees. Our benefit package includes market competitive health, dental, vision, disability, and life insurance programs, as well as a competitive 401k plan with company match. In addition, Thomson Reuters offers market leading work life benefits with competitive vacation, sick and safe paid time off, paid holidays (including two company mental health days off), parental leave, sabbatical leave. These benefits meet or exceeds the requirements of paid time off in accordance with any applicable state or municipal laws. Finally, Thomson Reuters offers the following additional benefits: optional hospital, accident and sickness insurance paid 100% by the employee; optional life and AD&D insurance paid 100% by the employee; Flexible Spending and Health Savings Accounts; fitness reimbursement; access to Employee Assistance Program; Group Legal Identity Theft Protection benefit paid 100% by employee; access to 529 Plan; commuter benefits; Adoption & Surrogacy Assistance; Tuition Reimbursement; and access to Employee Stock Purchase Plan.

Thomson Reuters complies with local laws that require upfront disclosure of the expected pay range for a position. The base compensation range varies across locations.
For any eligible US locations, unless otherwise noted, the base compensation range for this role is $88,200 - $163,800.
This role may also be eligible for an Annual Bonus based on a combination of enterprise and individual performance.
Base pay is positioned within the range based on several factors including an individual’s knowledge, skills and experience with consideration given to internal equity. Base pay is one part of a comprehensive Total Reward program which also includes flexible and supportive benefits and other wellbeing programs.

This job posting will close 04/30/2025.


Do you want to be part of a team helping re-invent the way knowledge professionals work? How about a team that works every day to create a more transparent, just and inclusive future? At Thomson Reuters, we’ve been doing just that for almost 160 years. Our industry-leading products and services include highly specialized information-enabled software and tools for legal, tax, accounting and compliance professionals combined with the world’s most global news services – Reuters. We help these professionals do their jobs better, creating more time for them to focus on the things that matter most: advising, advocating, negotiating, governing and informing.

We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments that celebrate diversity and inclusion. At a time when objectivity, accuracy, fairness and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward. 

Accessibility 

As a global business, we rely on diversity of culture and thought to deliver on our goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity/Affirmative Action Employer providing a drug-free workplace.

We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law.

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More information about Thomson Reuters can be found on https://thomsonreuters.com.

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What You Should Know About Business Intelligence Engineer (Full Stack), Thomson Reuters

Are you ready to take the next step in your career as a Business Intelligence Engineer at Thomson Reuters in McLean, Virginia? This is a fantastic opportunity to leverage your skills in data analysis, data mining, and business intelligence for a mission-driven organization that’s leading the way in both content and technology. As a BI Engineer, you’ll support a variety of stakeholders, answering complex data questions and uncovering valuable insights from our extensive data warehouse. Here, you'll analyze billions of data points, identify patterns, and help our clients achieve their objectives. Working closely with cross-functional teams, you’ll communicate your findings to both technical and non-technical audiences, ensuring everyone can understand the insights derived from complex data. Your role will involve writing optimized SQL queries and collaborating with stakeholders to understand their data needs. If you're passionate about data and thrive in a fast-paced environment, you will love being part of our diverse and inclusive team. Enjoy competitive pay, comprehensive benefits, and the chance to work in an inspiring culture that values equality, diversity, and social impact. Do you have a knack for discovering trends and transforming raw data into meaningful insights? If so, we’d love to hear from you and add your unique talents to our world-class team.

Frequently Asked Questions (FAQs) for Business Intelligence Engineer (Full Stack) Role at Thomson Reuters
What are the responsibilities of a Business Intelligence Engineer at Thomson Reuters?

The primary responsibilities of a Business Intelligence Engineer at Thomson Reuters include analyzing large data sets to identify valuable patterns and trends, writing complex SQL queries to extract and manipulate data, collaborating with stakeholders for data requirements, and communicating findings to both technical and non-technical audiences. You will also document data analysis processes and contribute to enhancing our overall data strategy.

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What qualifications do I need to become a Business Intelligence Engineer at Thomson Reuters?

To qualify for the Business Intelligence Engineer role at Thomson Reuters, candidates typically need a bachelor's or master's degree in a quantitative field such as data analytics, data science, or computer science. In addition, having 3-5 years of relevant experience, advanced SQL proficiency, and knowledge of scripting tools like JavaScript or Python is essential. Strong analytical, problem-solving, and communication skills are also critical for success in this role.

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What skills are important for a Business Intelligence Engineer at Thomson Reuters?

Important skills for a Business Intelligence Engineer at Thomson Reuters include advanced SQL skills for data querying, the ability to analyze complex data sets, familiarity with data warehousing concepts, and understanding AI and machine learning technologies. Strong communication and collaboration skills are crucial for explaining technical concepts to non-technical stakeholders and for working effectively in a team environment.

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How does Thomson Reuters support the career development of Business Intelligence Engineers?

Thomson Reuters is committed to the personal and professional growth of its employees, providing access to LinkedIn Learning, an internal Talent Marketplace for diverse project opportunities, and networking initiatives such as Ten Thousand Coffees. These resources support continuous learning and career advancement for Business Intelligence Engineers and other employees.

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What is the work culture like for a Business Intelligence Engineer at Thomson Reuters?

The work culture at Thomson Reuters for a Business Intelligence Engineer is inclusive and recognizes the value of diversity. The organization promotes flexible work environments that support work-life balance, encourages collaborative teamwork, and fosters a sense of purpose in helping to shape a more transparent and just future. Employees can expect a supportive atmosphere that values equality and social impact.

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Common Interview Questions for Business Intelligence Engineer (Full Stack)
Can you describe your experience with SQL in relation to data analysis?

When answering this question, provide specific examples of complex SQL queries you have written and the types of insights you were able to gain from your analysis. Highlight any optimizations you made and discuss how your SQL skills have directly contributed to business decisions.

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How do you approach data analysis when you encounter unexpected results?

Discuss your analytical process for troubleshooting unexpected results in your data analysis. Emphasize the importance of verifying the data source, reviewing your queries, and possibly seeking input from stakeholders to understand the context behind the data. Demonstrating critical thinking and problem-solving skills is key.

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What business intelligence tools and technologies have you used?

Be prepared to mention specific tools and technologies you've used in your past roles, such as BI platforms, data visualization software, and programming languages. Explain how these tools have helped you analyze data and make informed decisions, and express your willingness to learn new technologies relevant to the BI field.

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How do you communicate technical findings to non-technical stakeholders?

Provide examples of how you’ve successfully translated complex data analysis into understandable insights for non-technical audiences. Discuss the importance of using visual aids, avoiding jargon, and tailoring your message to the audience's level of understanding, emphasizing your effective communication style.

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Describe a challenging data project you've completed and the impact it had.

Share a specific example of a challenging data project, detailing the problem you aimed to solve, the methodologies you used, and the impact it had on the organization. Highlight both the analytical skills and collaborative efforts involved in delivering successful results.

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What techniques do you use for data mining and exploring large datasets?

Discuss the various techniques you employ for data mining, such as clustering, regression analysis, or pattern recognition. Explain how these techniques help you discover trends and insights, and give examples of how they have added value in your previous roles.

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How do you stay current with industry trends and advancements in business intelligence?

Mention any relevant publications, webinars, or courses you follow to stay updated with trends in business intelligence and data analytics. Highlight your motivation for continuous learning and showcase any certifications or training that further your expertise in the field.

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What is your experience working on cross-functional teams?

Explain your role in cross-functional teams and how you collaborated with other departments to achieve common goals. Emphasize your ability to communicate effectively and adapt your strategies according to team dynamics or project requirements.

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How do you prioritize tasks when working with large datasets?

Describe your approach to time management and prioritizing tasks when working with large datasets, including any methods you use to ensure efficiency, such as breaking projects into phases, utilizing project management techniques, and setting clear deadlines.

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What methods do you use to document your analysis processes?

Discuss your preferred documentation methods, whether through written reports, presentations, or collaborative tools. Explain how documenting your analysis processes helps ensure that your findings are accessible, reproducible, and valuable for future reference and for other team members.

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Thomson Reuters (NYSE / TSX: TRI) informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. The company serves professionals across legal, tax, accounting, compl...

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DATE POSTED
March 29, 2025

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