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Implement and configure Acumatica ERP solutions tailored to client needs. Requirements Proven experience as an Acumatica Consultant.
Proven experience designing, building, and deploying distributed systems in cloud environments. Demonstrated ability to build resilient, highly available, and reliable systems using public cloud infrastructure.
great people. Apply to Compass Group today!
1. Just results.
The Data Analytics Business Analyst gathers and documents business and technical needs for data and analytics projects, converts them into analytical specifications and test plans, assists in building and validating dashboards, reports, and predictive models, and safeguards data quality and HIPAA compliance across all analytical solutions. Responsibilities & Duties Elicit and Document Analytics Requirements Lead discovery meetings to capture business objectives, key performance indicators (KPIs), and reporting needs Capture data source requirements, frequency, granularity, and any service level expectations (e.g., refresh windows) Produce requirements artifacts such as Business Requirements Documents (BRDs), data modeling diagrams, and acceptance criteria that define the desired analytics outcomes Analyze and Profile Data Perform data profiling on source systems (e.g., relational databases, data lakes, SaaS APIs) to understand completeness, consistency, and distribution of fields Conduct gap analysis to identify missing attributes or mismatches against reporting specifications Document data quality issues, propose validation rules, and define reconciliation procedures that support accurate analytics Translate Requirements into Analytical Specifications Develop detailed functional and technical specifications for data models, dimensional schemas (star/snowflake), and analytical pipelines (ETL/ELT, data wrangling scripts, BI tool configurations) Collaborate with data engineers, data scientists, and BI developers to align design patterns, naming conventions, and reusable components Ensure specifications address scalability, security (including HIPAA related data handling), and maintainability of analytical solutions Plan and Execute Testing of Analytical Solutions Create test plans, test cases, and validation data sets for unit, integration, and user acceptance testing of dashboards, reports, and predictive models Support business stakeholders with UAT; log defects, prioritize fixes, and oversee retesting cycles Verify performance (e.g., query response time, model runtime) against agreed upon thresholds Support Implementation and Ongoing Operations Assist with go live activities such as preparation of runbooks, standard operating procedures (SOPs), and cut over checklists for analytics releases Monitor initial production runs, perform data reconciliations, and address any discrepancies that arise Participate in incident response, root cause analysis, and documentation of lessons learned for continuous improvement Maintain Documentation and Knowledge Base Keep current inventories of data sources, data dictionaries, lineage diagrams, and model documentation up to date Author and refresh end user guides, technical �how to� documents, and metadata catalogs in line with departmental standards Communication and Collaboration Translate complex analytical concepts into clear language for both technical and non technical audiences Partner with internal business units, external data providers, and vendor teams to ensure alignment on data definitions, delivery schedules, and reporting expectations Contribute to data governance initiatives, supporting standards for data stewardship, privacy, and compliance Continuous Improvement Identify opportunities to streamline analytics workflows through reusable templates, automation (e.g., CI/CD pipelines for data models), and self service tooling Define and track analytics related KPIs such as report delivery timeliness, data quality error rates, and model accuracy Recommend best practice enhancements to increase efficiency, data reliability, and user satisfaction Minimum Requirements Education and Experience Vocational or Technical Training in in Computer Science, Information Systems, Business Administration, or a related field; and six (6) years of experience in data analytics or data science; Or Associate�s degree from an accredited university in Computer Science, Information Systems, Business Administration, or a related field; and five (5) years of experience in data analytics or data science; Or Bachelor�s degree from an accredited university in Computer Science, Information Systems, Business Administration, or a related field; and five (3) years of experience in data analytics or data science.
Job Qualifications REQUIRED QUALIFICATIONS: 3 years of progressive experience using data, building ETLs (extract, transform, load), using disparate data sources for data models and analysis, and familiarity with data visualization tools and scripting tools such as Python, Ruby or Perl. Experience with integration of data from multiple data sources (using ETL tool such, Talend, etc.) Experience building solutions with NoSQL databases, such as HBase, Memsql Strong experience on Database technologies, Data Warehouse, Data Validation & Certification, Data Quality, Metadata Management and Data Governance Experience with programming language such as, Java/Scala/Python, etc.
Design and implement Pega applications following industry best practices and Pega Express methodology. Strong experience with Pega integrations (REST, SOAP, Kafka, DB connectors).
CrowdStrike participates in the E-Verify program. Notice of E-Verify Participation Right to Work CrowdStrike, Inc.
You Will Have (required) Associate degree, technical school or equivalent work experience required. Minimum of 4-7 years of prior field service experience within the gas measurement industry.
Experience supporting telecom operations or construction (fiber, mobility, OSP/ISP, transport, etc.). Experience with telecom systems Knowledge of telecom milestones, construction workflows, and project lifecycle.
Lensa partners with DirectEmployers to promote this job for Cengage Group. About Cengage Group Cengage Group, a global education technology company serving millions of learners, provides affordable, quality digital products and services that equip students with the skills and competencies needed to be job ready.
Experience with AWS Bedrock and AI technologies. Expertise in Python programming for AI/ML development.
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