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6 results for Business Intelligence Analyst in Grand Rapids, MI

IT Data Analyst

Grand Rapids, MI
onsite
Permanent / Full Time
90000 - 110000 USD / Yearly
We are looking for a Data Analyst to turn complex technical data into clear insights that support performance, reliability, and user experience improvements. This role partners closely with teams across development, product, and IT to shape reporting needs and deliver meaningful analysis. Based in Grand Rapids, Michigan, the position focuses on building trusted data assets, uncovering patterns in system behavior, and helping guide informed operational decisions. Responsibilities: • Create interactive dashboards, reporting solutions, and visual summaries that translate technical metrics into actionable information for stakeholders. • Examine data sets to detect patterns, outliers, and improvement opportunities that can strengthen platform stability and end-user satisfaction. • Work with developers, product leaders, and IT partners to gather reporting needs and define accurate, useful data inputs. • Analyze infrastructure and application performance data to support monitoring efforts, resource forecasting, and capacity planning activities. • Investigate system-related issues through root cause analysis and present recommendations backed by data findings. • Uphold data quality by validating information, resolving inconsistencies, and maintaining dependable reporting across technology environments. • Contribute to predictive analytics and automation efforts that improve efficiency and enable more proactive decision-making. • Track developments in analytics platforms, programming tools, and emerging technologies to enhance reporting and analytical capabilities.
2026-05-07T00:00:00Z

Digital Marketing Analyst

Grand Rapids, MI
onsite
Temporary / Contract
0 - 0 USD / Yearly
OverviewThe Digital Marketing Analyst is responsible for collecting, analyzing, and interpreting digital marketing data to help drive strategic decisions across campaigns, channels, and customer journeys. This role supports marketing teams with actionable insights, reporting dashboards, testing recommendations, and performance optimization to maximize ROI and improve overall marketing effectiveness. Key Responsibilities<ul><li>Analyze performance data across digital channels including paid search, paid social, email, display, SEO, and website analytics.</li><li>Build and maintain dashboards, weekly/monthly reports, and KPI scorecards using tools such as Google Analytics, Looker, Tableau, Power BI, or similar.</li><li>Partner with channel managers to provide insights that improve CTR, conversion rates, CAC, ROAS, and engagement metrics.</li><li>Conduct deep‑dive analysis on campaigns, audiences, funnels, and attribution paths.</li><li>Support A/B testing and experimentation by forming hypotheses, building test plans, and evaluating results.</li><li>Monitor website traffic patterns, user behavior, and key conversion events to uncover opportunities for optimization.</li><li>Work with marketing operations and CRM teams to ensure data accuracy, segmentation quality, and tracking integrity.</li><li>Assist in forecasting, budgeting, and performance modeling efforts.</li><li>Ensure tracking frameworks, UTM parameters, and tagging structures are accurate and properly implemented.</li><li>Present findings and recommendations to stakeholders in a clear, data‑driven format.</li></ul>
2026-04-22T00:00:00Z

Data Engineer

Kalamazoo, MI
remote
Permanent / Full Time
150000 - 225000 USD / Yearly
We are looking for a senior-level Data Engineer to shape and deliver a scalable data platform in Kalamazoo, Michigan. This role combines strategic architecture with hands-on engineering, creating reliable data products that support reporting, advanced analytics, and AI-driven solutions. The ideal candidate will build secure, multi-tenant data capabilities with strong attention to privacy, governance, and long-term platform quality. Responsibilities: • Lead the design of a modern data platform that supports ingestion, transformation, storage, and consumption across analytical and operational use cases. • Build and maintain robust batch and streaming pipelines that move data from relational systems, object storage, document databases, and event sources into centralized platforms. • Define data architecture standards, modeling approaches, and engineering practices that improve consistency, reliability, and scalability across the organization. • Create multi-tenant data solutions with strong isolation controls, secure access patterns, and governance measures built into the platform design. • Develop data models and serving layers that enable enterprise reporting, self-service analytics, and AI or machine learning workloads. • Evaluate cloud-based data services, processing frameworks, and warehouse technologies to ensure the platform meets performance, cost, and security expectations. • Partner with product, engineering, and leadership teams to explain technical decisions, highlight risks, and align platform investments with business priorities. • Oversee external vendors and implementation partners by reviewing recommendations, challenging misaligned approaches, and enforcing internal data standards.
2026-05-12T00:00:00Z

Data Engineer

Grand Rapids, MI
onsite
Permanent / Full Time
110000 - 140000 USD / Yearly
We are looking for a talented Data Engineer to join our team in Grand Rapids, Michigan. In this role, you will focus on designing, building, and optimizing robust data solutions using Snowflake and other cloud-based technologies. You will work closely with business intelligence and analytics teams to deliver scalable, high-performance data pipelines that support organizational goals. Responsibilities: • Design and implement scalable data models, schemas, and tables within Snowflake, including staging, integration, and presentation layers. • Develop and optimize data pipelines using Snowflake tools such as Snowpipe, Streams, Tasks, and stored procedures. • Ensure data security and access through role-based controls and best practices for data sharing. • Build and maintain ETL pipelines leveraging tools like dbt, Matillion, Fivetran, Informatica, or Azure-native solutions. • Integrate data from diverse sources such as APIs, IoT devices, and NoSQL databases to create unified datasets. • Enhance performance by utilizing clustering, partitioning, caching, and efficient warehouse sizing strategies. • Collaborate with cloud technologies such as AWS, Azure, or Google Cloud to support Snowflake infrastructure and operations. • Implement automated workflows and CI/CD processes for seamless deployment of data solutions. • Maintain high standards for data accuracy, completeness, and reliability while supporting governance and documentation. • Work closely with analytics, reporting, and business teams to troubleshoot issues and deliver scalable solutions.
2026-05-08T00:00:00Z

Sr. Pricing Analyst

Zeeland, MI
onsite
Permanent / Full Time
90000 - 100000 USD / Yearly
We are looking for an experienced Sr. Pricing Analyst to shape data-driven pricing strategies for a manufacturing organization in Zeeland, Michigan. This role focuses on evaluating product, customer, and cost information to improve profitability while preserving market competitiveness. The ideal candidate will work closely with commercial and operational partners to build pricing frameworks, assess performance, and guide strategic decisions across product lines and customer segments. Responsibilities: • Examine revenue, cost, and margin trends to uncover pricing opportunities, assess risk, and support broader pricing strategy development. • Build and refine pricing structures such as list prices, discount logic, and value-oriented approaches that align with business goals. • Develop segmentation-based pricing models that account for customer type, product category, and regional factors. • Partner with sales, finance, marketing, and product teams to launch targeted pricing strategies and improve commercial performance. • Evaluate price realization, elasticity, and profitability results to recommend actions that strengthen revenue and margin outcomes. • Model potential pricing changes, including fee updates and discount adjustments, to estimate business impact and support decision-making. • Maintain accurate pricing data, including price tables and customer segmentation details, within core business systems and resolve inconsistencies proactively. • Work with IT and system stakeholders to improve pricing workflows, increase automation, and support future pricing capabilities. • Present pricing recommendations and supporting analysis to leadership while promoting consistent standards and best practices across the organization.
2026-05-04T00:00:00Z

Sr. Financial Analyst

Newaygo, MI
onsite
Permanent / Full Time
75000 - 95000 USD / Yearly
We are looking for an experienced Sr. Financial Analyst to support business performance through detailed reporting, forward-looking analysis, and practical financial insight. This role partners with leadership in Newaygo, Michigan to evaluate operational results, develop forecasts, and provide recommendations that strengthen planning and investment decisions. The ideal candidate brings strong analytical capability, sound financial judgment, and the ability to communicate findings clearly across the organization. Responsibilities: • Prepare and interpret financial reports, including income statements, balance sheets, inventory-related reporting, and other analyses that support business decisions. • Assess capital spending opportunities and other investment proposals by building financial evaluations and presenting objective recommendations. • Conduct research on financial drivers such as return expectations, depreciation impacts, and investment performance to guide planning efforts. • Review profit and loss results, identify key variances and trends, and summarize insights for management action. • Develop forecasts and planning models across sales, operations, and finance to improve visibility into future performance. • Support budgeting, month-end close activities, and recurring management reporting with accurate and timely analysis. • Perform ad hoc business and financial studies using data mining and modeling techniques to address emerging priorities. • Partner with cross-functional teams to improve reporting quality, strengthen financial controls, and support operational decision-making.
2026-05-11T00:00:00Z