Business Intelligence (BI) Developer - Engineering Analytics

Description Keeper Security is seeking a talented Senior Analytics Engineer to enhance our expanding Data Engineering team. This role focuses on analytics data modeling and the development of business intelligence platforms. This position is fully remote, with an option for a hybrid schedule available for candidates located in the El Dorado Hills, CA or Chicago, IL metropolitan areas. Our cybersecurity software is relied upon by millions of users and organizations worldwide. With our services available in 23 languages and distributed across over 150 countries, Keeper Security is among the fastest-growing names in cybersecurity. Join us in creating and refining analytics data pipelines and models that facilitate informed decision-making throughout the organization. About Keeper Security Keeper Security is revolutionizing cybersecurity for organizations globally through a zero-trust privileged access management system fortified with end-to-end encryption. Our solutions are FedRAMP and StateRAMP Authorized, SOC 2 compliant, FIPS 140-2 validated, and certified under ISO 27001, 27017, and 27018. We enable rapid deployment, integrating seamlessly with any technology stack, to prevent breaches, minimize help desk costs, and ensure compliance. Trusted by millions of individuals and organizations, Keeper leads the way in password management, privileged access, secure remote access, and encrypted messaging. Discover how our zero-trust and zero-knowledge solutions protect against cyber threats at KeeperSecurity.com. About the Role As a Senior Analytics Engineer, you will be responsible for designing and implementing robust analytics pipelines and dimensional data models that support reporting, dashboards, and KPI-driven insights across the organization. Collaborating closely with analysts, stakeholders, and fellow data engineers, you will translate business requirements into a high-performing and well-governed analytics infrastructure. This role demands extensive expertise in SQL, analytical data modeling, and business intelligence-oriented data architecture, alongside exceptional communication skills and a product-focused mindset regarding data.

Join Us at TrafileaAt Trafilea, we are redefining the landscape of consumer technology through our innovative platform designed to drive transformative brand growth. We are on a mission to build the AI Growth Engine that will empower the next generation of consumer brands.With over $1 billion in cumulative revenue, more than 12 million satisfied customers, and a talented workforce of over 500 professionals across 19 countries, we merge cutting-edge technology, growth marketing, and operational excellence to scale purpose-driven, digitally native brands.As owners and operators of our own brands—proudly not an agency—we have a significant presence in leading retailers such as Walmart, Nordstrom, and Amazon, along with a robust global direct-to-consumer (D2C) footprint.Why Choose Trafilea?We are a tech-driven eCommerce group dedicated to scaling our globally cherished DTC brands while fostering rapid growth for our talented team members. We innovate and scale our own brands. We are at the forefront of AI and automation in eCommerce. We embrace fast testing and rapid growth. Join a diverse, dynamic global team. Enjoy a fully remote work environment, competitive salaries in USD, paid time off, and additional benefits.Key ResponsibilitiesWe are seeking a Senior Analytics Engineer (Business Intelligence) to spearhead our marketing and business intelligence initiatives. This pivotal role integrates data engineering, analytics, and business impact, ensuring our reports are reliable, scalable, and conducive to informed decision-making.Your contributions will be essential in refining our marketing reporting platform, crafting high-quality data models, and collaborating with stakeholders to convert data into impactful insights.Core Activities1. Ensure Reporting Reliability & Data QualityGuarantee that dashboards and reports are accurate, dependable, and consistently accessible.Establish monitoring, alerting, and service level agreements for crucial reporting assets.Analyze and resolve data discrepancies with thorough root-cause investigations.2. Develop Scalable Data ModelsCreate and enhance SQL transformations and data models.Boost dataset performance and optimize reporting queries.Minimize redundancy by centralizing business logic within the data layer.3. Deliver High-Impact BI SolutionsConstruct and sustain dashboards, reports, and analytical tools.Translate business requirements into scalable BI solutions.Execute projects with clear timelines and predictable outcomes.4. Guarantee Data Trust & ObservabilityIntroduce data validation checks and anomaly detection.Proactively discover issues before they affect stakeholder operations.

Role overview Jobgether seeks an Engineer to join the Index Business Intelligence team, with a focus on Data Programming and Analytics. This role helps shape strategic and commercial decisions by designing structured, automated, and scalable reporting solutions using large datasets. What you will do Convert complex and unstructured data into clear, actionable reports and analytical models. Collaborate with Sales, Product, Finance, Research, and Legal teams to answer business questions using data-driven methods. Build and maintain automated reporting processes to boost efficiency and consistency. Deliver reliable intelligence on index-related topics for global markets. Requirements Background in data engineering, business intelligence, or analytics. Proficient programming skills for developing and refining data models and reports. Experience working with cross-functional teams and turning business needs into technical solutions. Skilled at handling large datasets and producing insights to support company decisions. Location This position is based in the US.

About TreviPay TreviPay builds B2B payments and invoicing solutions that help sellers offer flexibility to buyers, automate receivables, and reach new markets. With over four decades in the industry, TreviPay supports clients in manufacturing, retail, and transportation, and integrates with major eCommerce and ERP systems. Role Overview The Business Intelligence & Analytics Engineer will work onsite in Overland Park, KS. This role connects data engineering and analytics, turning raw data into reliable datasets and delivering analytics solutions using TreviPay’s BI visualization tools and cloud data infrastructure. Key Responsibilities Transform raw data into scalable, dependable datasets for analytics use Develop and deliver analytics solutions through BI visualization platforms Collaborate with both data engineering and analytics teams Support and enhance cloud data infrastructure What We’re Looking For Strong skills in SQL and PL-SQL Experience with semantic layer modeling Background in BI development Knowledge of data platform integration (Snowflake preferred) Experience enabling embedded analytics and self-service data tools Work Environment TreviPay values collaboration, entrepreneurship, and initiative. Employees work together to solve complex challenges and support each other’s growth.

Join Our Mission at BetterHelp At BetterHelp, we are dedicated to breaking down the barriers to mental health care, making it accessible to all. Established in 2013, we have grown to become the largest online therapy platform in the world, serving millions globally through our extensive network of over 30,000 licensed therapists. As the demand for mental health services continues to rise, we remain committed to being part of the solution. As a Business Intelligence and Analytics Engineer at BetterHelp, you will collaborate with a diverse team comprising clinicians, engineers, product experts, creatives, marketers, and business leaders, all united by a shared passion for enhancing access to therapy. We prioritize the mental health of our employees just as much as we do our mission, investing in their well-being and professional growth. Here, you will have the autonomy to forge your own path, create an immediate impact, and face daily challenges with the support of a nurturing community.

Join our dynamic team as a Senior Business Intelligence Engineer, where you will be pivotal in optimizing our patient intake process. In this crucial role, you will collaborate with the Growth team to develop comprehensive data sets that facilitate informed, data-driven decisions. As a senior figure in our Business Intelligence division, you will spearhead development initiatives, advocate for best practices, and act as a trusted advisor to various stakeholders across the organization.About Talkiatry:At Talkiatry, we are revolutionizing psychiatric care by making it more accessible, human, and responsible. As a nationally recognized mental health practice, co-founded by a patient and a triple-board-certified psychiatrist, we are dedicated to addressing the challenges faced by both patients and providers in delivering high-quality mental health treatment.In the United States, a staggering 60% of adults with diagnosable mental health conditions remain untreated annually due to barriers in access to care. Furthermore, 45% of clinicians find themselves out of network with insurers due to low reimbursement rates and excessive administrative burdens. By leveraging innovative technology and a patient-centric approach, we ensure that individuals receive the care they deserve while allowing psychiatrists to focus on their passion for medicine.Your Responsibilities:Design and manage efficient, scalable data models and pipelines that underpin analytics and reporting using advanced tools like Snowflake, dbt, and Databricks.Work closely with stakeholders to comprehend business objectives and convert them into actionable data requirements and insightful data products.Create and sustain user-friendly business intelligence solutions that facilitate the monitoring of critical performance metrics.Develop data models adhering to our rigorous standards of data governance, quality, and documentation.Lead the implementation of self-service analytics tools and data products that empower team members to explore data independently.Champion best practices in data modeling, performance enhancement, and reporting workflows.

Join Turnitin LLC as a Business Intelligence Analyst - Analytics Engineer in a dynamic hybrid role where you will leverage your analytical skills and technical expertise to drive data-informed decisions. As part of our team, you will be responsible for transforming raw data into actionable insights that enhance our products and services. You will collaborate with cross-functional teams to identify business needs and develop solutions that support strategic goals.

Join our team as a Business Intelligence Analyst with a focus on Analytics Engineering in a hybrid remote capacity. In this role, you will leverage your analytical skills to transform data into actionable insights that drive informed decision-making across the organization. You will collaborate with cross-functional teams to develop and implement data-driven strategies.

Peregrine Technologies is backed by prominent investors from Silicon Valley, providing innovative solutions to public safety organizations, local and state governments, federal agencies, and private institutions. Our AI-driven platform transforms fragmented and isolated data into actionable operational intelligence, enabling swift and precise decision-making that enhances outcomes across various sectors. Currently, we serve hundreds of clients across over 30 states and two countries, positively impacting more than 125 million individuals. As we expand our footprint into enterprise-level solutions and international markets, our influence continues to grow.The RoleAs the Manager of Business Intelligence and Analytics Engineering at Peregrine, you will be instrumental in defining the architecture, access, and application of data throughout the organization. You will lead the development and implementation of our analytics infrastructure, collaborating with teams in Product, Sales, Finance, and Operations to convert raw data into meaningful insights and actionable strategies.This role is highly collaborative and visible, requiring you to engage directly with business leaders to establish key performance indicators (KPIs), automate processes, and enhance our data architecture. If you thrive in dynamic environments, enjoy building data pipelines from business inquiries, and are eager to shape the future of data within a mission-driven organization, we encourage you to apply.What You'll DoOwn and expand our data warehouse to accommodate a rapidly growing product and Go-To-Market ecosystem.Design and sustain ETL pipelines using dbt to integrate data from various tools, applications, and external platforms.Create clean, reusable data models to support reporting needs across Sales, Marketing, Product, and Finance.Develop dashboards and analyses to identify trends in revenue, product usage, and customer behavior.Establish data quality checks and alerts to guarantee the accuracy, timeliness, and reliability of data.Assist in planning and forecasting by collaborating with teams to define KPIs and create predictive models.What We Look ForA minimum of 4 years of experience as a BI Engineer, Analytics Engineer, or Data Engineer within a fast-paced technology environment.Strong proficiency in SQL and best practices for data modeling.Expertise in dbt, modern data warehouses (such as Snowflake or BigQuery), and orchestration tools like Airflow or Prefect.

About the RoleJoin our dynamic team as a Business Intelligence Analyst and Analytics Engineer where you will leverage data analytics to drive strategic decisions and enhance operational performance. As a key player in our analytics team, you will design and implement robust data models, visualizations, and reports that empower stakeholders with actionable insights.ResponsibilitiesDevelop and maintain business intelligence solutions that facilitate data-driven decision-making.Collaborate with cross-functional teams to gather requirements and translate them into data models.Analyze complex datasets to identify trends, patterns, and anomalies.Create compelling visualizations and dashboards to communicate insights effectively.

Tebra will initiate contact with candidates exclusively via email from our official addresses (@tebra.com, @patientpop.com, or @kareo.com) or through our applicant tracking system, Greenhouse. We will only request sensitive personal information through our official application portal, not via social media or text messages. Interviews will not be conducted through instant messaging.About the RoleWe are in search of a talented Business Intelligence Engineer with a robust understanding of back-end data processing technologies, coupled with the ability to craft innovative data visualizations that facilitate self-service actionable analytics products. This position is pivotal in the design and development of our cloud-based Data Intelligence and Analytics services.Your Area of FocusLead and Innovate: Spearhead the design and development of scalable, efficient, and user-friendly BI solutions across the organization, ensuring they align with business needs and objectives.Advanced Data Modeling: Develop and refine data models, data flows, and processes to support high-quality reporting, data analysis, and business intelligence solutions.AI-Enhanced Insights: Integrate and develop AI-driven modeling, including semantic layers, AI “cortex” frameworks, predictive analytics, and automated feature generation within BI architectures to improve data accessibility, accelerate insight discovery, and enhance decision-making across the organization.Platform Optimization: Maintain the performance and scalability of BI tools such as Tableau, Power BI, and Snowflake by optimizing datasets and providing actionable improvement recommendations.Stakeholder Collaboration: Partner with business leaders, product teams, and stakeholders to translate complex business requirements into technical specifications and to clearly define reporting and analytics needs.Complex Reporting & Dashboarding: Design, implement, and optimize intricate reports and dashboards, ensuring data accuracy, consistency, and actionable insights for various business functions.Cross-functional Leadership: Collaborate closely with data engineers and application developers to integrate and fine-tune BI solutions.

jobgether is seeking a Senior Business Intelligence & Analytics Manager based in the US. This position leads the analytics function and plays a key part in shaping strategic decisions across the company. Role overview The Senior Business Intelligence & Analytics Manager oversees the development of business intelligence tools and ensures stakeholders can access clear, actionable insights. This role focuses on optimizing analytics processes and supporting a culture where data guides decision-making at every level. What you will do Lead the analytics team and manage the delivery of business intelligence solutions Drive data-informed strategies that influence company direction Oversee the creation and improvement of tools that provide stakeholders with timely insights Promote data-driven practices throughout the organization Requirements Experience managing analytics or business intelligence functions Strong background in developing and implementing BI tools Ability to translate data into clear, actionable recommendations Skilled at fostering collaboration and a data-focused culture

We are seeking a highly skilled Data Analytics & Business Intelligence Manager to join our dynamic team at blackbird labs inc. In this pivotal role, you will lead our analytics initiatives, transforming data into actionable insights that drive business strategy and decision-making.Your responsibilities will include developing analytical frameworks, guiding data visualization efforts, and collaborating with cross-functional teams to ensure data-driven decision making. You will also oversee the implementation of advanced analytics tools and methodologies to enhance our business intelligence capabilities.

We are seeking a Senior Business Intelligence Engineer to become an integral part of our Data Team, with a specific emphasis on supporting our Marketing initiatives. In this pivotal role, you will enable our Marketing team to leverage data for strategic decision-making by developing data-driven solutions, establishing success metrics based on strategic objectives, and delivering key insights through impactful data products and visualizations.As a senior member of the Business Intelligence function, you will spearhead development projects, advocate for best practices, and act as a trusted advisor to cross-functional teams, especially within Marketing.About Talkiatry:Talkiatry is revolutionizing psychiatric care by making it more accessible, human-centered, and responsible. Founded by a patient alongside a triple-board-certified psychiatrist, our national mental health practice is dedicated to addressing the challenges faced by both patients and providers in accessing and delivering top-quality treatment.With 60% of adults in the U.S. with diagnosable mental illnesses remaining untreated annually due to barriers in access, and 45% of clinicians being out of network with insurers due to low reimbursement rates and excessive paperwork, we utilize innovative technology and a patient-centric philosophy to provide the necessary care for patients while allowing psychiatrists to focus on their passion for medicine.Your Responsibilities:Design and maintain efficient, scalable data models and pipelines that support marketing analytics and reporting, utilizing tools such as Snowflake, dbt, and Databricks.Work in close collaboration with Marketing stakeholders to grasp business objectives and translate them into actionable data requirements and insightful data products.Create and sustain user-friendly Business Intelligence solutions that track marketing performance, campaign efficacy, and essential KPIs.Develop data models that align with our stringent data governance, quality standards, and documentation practices.Lead the creation of self-service analytics tools that empower Marketing team members to independently analyze data.Champion the adoption of best practices in data modeling, performance tuning, and reporting workflows.Your Qualifications:A minimum of 5 years of experience in Business Intelligence, Data Analytics, or a related field.Proficient in SQL and well-versed in data modeling concepts.

Role Overview Luxury Presence is hiring a Senior Data Engineer to strengthen our data infrastructure and help deliver new solutions. This fully remote role is open to candidates across Latin America. Work closely with teammates throughout the region to support data-driven decisions and key business projects.

Supported by prominent Silicon Valley investors, Peregrine Technologies empowers public safety organizations, state and local governments, federal agencies, and private institutions to tackle societal challenges with unmatched speed and precision. Our AI-driven platform transforms isolated and disconnected data into actionable operational intelligence, consistently surfacing vital information that enables quicker and better decision-making to enhance outcomes at every stage. Currently, Peregrine serves hundreds of clients across more than 30 states and two countries, positively impacting over 125 million individuals, and we are poised to increase our reach as we expand into the enterprise sector and internationally.The RoleAs the Manager of BI & Analytics Engineering at Peregrine, you will be instrumental in shaping our data architecture, accessibility, and utilization across the organization. You will take charge of the design and implementation of our internal analytics infrastructure, collaborating closely with stakeholders in Product, Sales, Finance, and Operations to convert raw data into strategic insights and actionable outcomes.This is a dynamic, high-visibility role where you will engage directly with leaders across various departments to establish KPIs, automate workflows, and enhance our data framework. If you are a proactive innovator who excels in uncertain environments, enjoys transforming complex business inquiries into streamlined data pipelines, and aspires to influence the future of data within a mission-centric organization, we invite you to apply.Key ResponsibilitiesOversee and scale our data warehouse to accommodate a rapidly expanding Go-To-Market and product ecosystem.Develop and sustain ETL pipelines using dbt to assimilate data from various tools, applications, and third-party platforms.Create well-structured, reusable data models that support reporting efforts across Sales, Marketing, Product, and Finance.Design dashboards and analyses that reveal trends in revenue, product utilization, and customer behavior.Implement data quality checks and alerts to guarantee the accuracy, timeliness, and reliability of data.Assist in planning and forecasting by working with teams to define KPIs and develop predictive models.Qualifications4+ years of experience in a role such as BI Engineer, Analytics Engineer, or Data Engineer within a fast-paced technology environment.Strong proficiency in SQL and best practices for data modeling.Expertise in dbt, modern data warehouses (Snowflake/BigQuery), and orchestration tools (Airflow, Prefect).

Join our dynamic team as a Senior Business Intelligence Consultant, where you will leverage your expertise to transform complex data into actionable insights. In this role, you will be instrumental in guiding clients through data analysis, developing BI strategies, and implementing solutions that drive business success.

Join Turnitin LLC as a Business Intelligence Analyst specializing in analytics engineering. In this hybrid remote role, you will leverage your analytical expertise to transform data into actionable insights, driving strategic decisions and enhancing overall business performance.

Join AbbVie as a Lead Business Intelligence and Analytics Solution Engineer, where you will spearhead innovative solutions that drive data-informed decision-making across the organization. You will collaborate with cross-functional teams to develop advanced analytics frameworks, leverage data visualization tools, and ensure data integrity to support strategic objectives.