Top Senior Analysis Reporting Jobs in Des Moines, IA

The Business Analyst will facilitate business process mapping, write user stories, document functional and non-functional requirements, and maintain a product backlog while collaborating with stakeholders.

As a Policy Administration Data Analyst Manager, you will lead a team to manage reporting, analytics, data accuracy, and provide insights for operational decision-making, ensuring efficiency and compliance.

Contract Big Data Architect to design and stand up a Hortonworks/Hadoop stack on Azure (HDInsight/HDP). Ingest XML files via a Hadoop listener into HDFS, process with Spark or MapReduce into Hive/HBase, and expose data for Informatica-based ETL into an on-prem data warehouse.

Independently validate and assure enterprise data quality across source systems, ETL/ELT pipelines, data warehouses and reporting. Lead incident investigations, root cause analysis, test strategy, automated validation, regression and non-functional testing, data governance metrics, regulatory validation, and stakeholder collaboration to drive continuous improvement in data quality and controls.

Lead technical design and delivery of Databricks lakehouse solutions: gather requirements, design and build scalable pipelines with Spark/PySpark and Python, integrate with cloud, enforce governance, optimize performance, lead code/review/testing/CI-CD, mentor engineers, and liaise with clients.

Lead architecture and implementation of enterprise Adobe Experience Platform solutions, including data ingestion, identity resolution, XDM modeling, Web SDK event collection, and Real-Time Customer Profile. Design and operationalize customer journeys and real-time activations in Adobe Journey Optimizer, integrate AEP with downstream systems (CJA, activation platforms), lead solution design/PoCs, and collaborate with analytics, engineering, and marketing teams to build reusable frameworks and govern platform data quality.

Design, deploy, and maintain scalable data infrastructure and orchestration for analytics and ML; write optimized SQL over large warehouses; partner with engineering and product to structure source systems; maintain CDC pipelines; scale reporting and expose analytical datasets enterprise-wide while ensuring data management, security, and compliance.

Design and build large-scale data migration systems, map heterogeneous legacy sources into the platform, ensure end-to-end data correctness, create repeatable tooling, support analytics and BI, optimize performance and storage, debug production data issues, and collaborate with Product, Implementation, and Ops for agency onboarding.

Lead acquisition, cleaning, validation, storage and protection of datasets to support reporting and analysis. Design and execute data architectures, policies and ETL pipelines (SSIS, ADF) using cloud platforms (Azure Synapse, Snowflake, Databricks). Deliver dimensional models, visualizations, and lifecycle governance to make complex data accessible and drive business insights.

Design, operate, and scale end-to-end data infrastructure and pipelines. Build reusable data models and a semantic layer, ensure data quality and privacy, implement observability and SLAs, support marketing and growth feeds, partner with cross-functional stakeholders, and enable ML/AI consumption and reverse ETL workflows.