Top Business Intelligence Engineer Jobs in Boston
The Business Intelligence Engineer will collaborate with business stakeholders to understand reporting needs and translate them into functional requirements. They will design, develop, and maintain BI reports, dashboards, and data visualizations using tools like Tableau and Power BI. The engineer will ensure data consistency and quality in reports and perform data analysis to support business decision-making.
The Business Intelligence Engineer III will drive improvements in incrementality measurements for marketing campaigns, collaborate with cross-functional teams, analyze large datasets, and provide actionable recommendations to optimize marketing strategies.
As a Senior Business Intelligence Engineer at Cash App, you will be responsible for creating and optimizing data models, building pipelines, and developing dashboards to enable impactful business decisions. You will work with a highly data-driven team to analyze large datasets and support various business functions.
 copy 2.png)
Design, build, and maintain scalable data models using SQL and dbt for data marts. Collaborate with stakeholders to gather business requirements, create explores in Looker, drive best practices, mentor junior team members, and lead architecture design within Snowflake. Engage decision makers and contribute to platform ownership tasks.
.png)
The Senior Analytics Engineer - Data Ops at Pluralsight will be responsible for building and maintaining production data pipelines, developing tooling for data practitioners, improving data environment observability and maintainability, and automating processes. Requires 5+ years of multidisciplinary data operations experience and expertise with various data warehousing technologies and orchestration tools.
As an Analytics Engineer at **first** hand, you will build data modeling solutions, develop data models and schemas for analysis, collaborate with stakeholders, help build data-driven processes, and enable teams to self-serve data analytics needs. You should have experience with clinical medical records, data modeling, and SQL. This is an opportunity to make a massive impact on foundational technology and shape the culture of a data-driven organization.
An Analytics Engineer responsible for providing clean data sets to end users, modeling data to empower teams to answer their own questions. Responsibilities include enabling team members, curating metrics, creating datasets and dashboards, establishing analytics standards, and identifying and transforming suboptimal data. Required expertise in SQL, Python, Tableau, data warehousing architecture, and data modeling standards.
Partner with business leaders to address challenges using predictive analytics, improve data quality, align analysis with strategic goals, and define and implement statistical and machine learning models. Collaborate with cross-functional teams and mentor data scientist team.
Featured Jobs
Develop re-usable, consistent, best in class dimensional data models, write SQL queries and Python code, identify data integrity issues, enforce data policies, build and scale data models, implement and maintain databases, develop documentation on databases and tables.
As a Senior Manager in Data Analytics & Technologies for Healthcare, Pharma & Life Sciences, responsibilities include aligning client data strategies with business goals, choosing data platforms, and migrating to modern cloud environments. Thought leader-level abilities in creating trusting relationships with stakeholders, developing digital solutions, and leading business development efforts.
Lead Data Specialist supervising a team within Data Management, managing day-to-day operations, interacting with internal study teams and sponsors, ensuring database integrity, and executing SQL data scripts.
Design and develop data models in Snowflake with DBT for internal business partners. Write advanced SQL queries for ELT/data warehousing/Business Intelligence. Collaborate with team members and promote business data models for Self Service Reporting. Utilize tools like Fivetran, GitHub, Power BI, SQL, and Python for ETL and data modeling.
Global and strategic position accountable for the delivery of enterprise level Data Quality, Data Catalog, Data Security & Audits, Data Acquisitions, and Data Marketplace services at Takeda. Responsible for driving direct business value and experiences for patients through data initiatives and capabilities. Leads discussions with AI teams, influences leadership, creates innovative data management capabilities, and ensures effective data solutions delivery.
Experienced Data Analytics Lead at Overjet, responsible for collaborating with cross-functional teams, analyzing data sets, creating data visualizations, and serving as a trusted advisor to external customers. Must have strong technical proficiency in Python, SQL, and data visualization tools.
Lead a team of data scientists to partner with marketing, sales, growth, and product teams to drive business growth through data-driven insights and analytics techniques. Develop quantitative models, automate reporting, evaluate marketing measurement techniques, and identify opportunities for optimization. Establish scalable data foundations and execution standards for long-term growth. Translate complex concepts into actionable insights for the business.
Design, build, and measure complex Informatica Power Center and MDM processes to master data for different Master Data domains. Work on batch pipelines, data modeling, and Master data solutions. Collaborate with project teams to implement data collection and processing pipelines.
Looking for a Data Analytics leader with 10+ years of BI & Data experience to lead cross-functional projects, manage a team of data analysts, and support the FP&A organization. Must have experience in data science programming languages like Python and SQL.
Lead and direct Oracle Master Data Management (MDM) projects, implement MDM solutions across multiple sectors, and work with technical and functional teams for MDM implementations. Requires thorough knowledge of MDM solutions, data quality rules, and expertise in Oracle CDM or Oracle PDH Platform.
Design, build, and maintain complex ELT jobs that deliver business value. Translate high-level business requirements into technical specs. Ingest data from disparate sources into the data lake and data warehouse. Cleanse and enrich data and apply adequate data quality controls. Provide insight and direction to guide the future development of MassMutual's data platform. Develop re-usable tools to help streamline the delivery of new projects.
As a Senior Manager, Data Science - Business Card & Payments, you will partner with a cross-functional team to deliver a product customers love. You will leverage Python, Conda, AWS, H2O, Spark, and more to reveal insights from large volumes of data. Your responsibilities will include building and implementing machine learning models.
We’re looking for a technical and business leader to lead our Data teams, inclusive of Data Science, Data Engineering and Product Data Analytics, and to join our Senior Management Team (SMT).
Lead Data Engineer role in the Finance Tech department at Capital One. Responsible for collaborating with Agile teams to design, develop, test, and implement technical solutions using full-stack development tools and technologies. Must have at least 6 years of application development experience and 2 years of experience in big data technologies.
77 West Wacker Dr (35012), United States of America, Chicago, IllinoisManager, Data Scientist - Credit Infrastructure Imperative - Team MatrixData is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast...
Lead data engineering teams focused on data solutions for USRM Claims business. Drive business value through data-driven decision making and collaboration with stakeholders. Manage Agile data engineering squads and ensure delivery of scalable, reliable, and secure solutions. Mentor and coach team members to foster a culture of empowerment and excellence in engineering practices.
Drive Bevi's Business Intelligence tool development, automate data collection, and develop an organizational data model to support business users.
Top Boston Companies Hiring Business Intelligence Engineers
See All
 copy 2.png)
.jpg)
.png)
 (1).jpeg)
All Filters
No Results
No Results
