Data Jobs

YOUR NEW OPPORTUNITY The Data Analyst is responsible for translating business reporting needs into trusted, decision-ready insights for project site teams, departments and executive audiences. This role partners closely with the Data Engineer to ensure data is accurate, well-defined, and usable through curated datasets, standardized metrics, and high-quality Power BI dashboards.

GRADE 18 LOCATION OF POSITION Maryland Department Human Services Office of Technology for Human Services General Admin. POSITION DUTIES Coordinate data collection from various sources including the Child Support Management System (CSMS), the E&E system through the worker portal, and the Works system.

The role will focus on extracting, analysing, and transforming MRP and operational data into meaningful insights and intuitive Power BI reports that enable data-driven decision-making. Data Analyst Key Responsibilities: Data Analysis & Insight Analyse MRP data relating to materials, production, inventory, demand planning, capacity, and lead times Identify trends, risks, and opportunities within operational and manufacturing data Translate complex datasets into clear, actionable insights for non-technical stakeholders Support root cause analysis for operational issues such as stock shortages, excess inventory, late orders, or production inefficiencies Reporting & Power BI Design, develop, and maintain Power BI dashboards and reports for departments across the Group Ensure reports are accurate, visually intuitive, and aligned to business KPIs Build automated and self-service reporting solutions where possible Continuously enhance existing reports based on stakeholder feedback and evolving business needs Support the standardisation of core reports and metrics across sites Stakeholder Collaboration Work closely with department leads to understand reporting requirements and business challenges Act as a trusted data partner to Operations, Supply Chain, Manufacturing, Finance, and Engineering teams Present findings and recommendations clearly to a range of audiences Support stakeholders in understanding and using reports effectively to inform decision-making Data Governance & Quality Ensure data integrity, consistency, and accuracy across reports and dashboards Document data definitions, metrics, and report logic Support improvements in data structures, data flows, and reporting processes Highlight data quality issues and work with system owners to resolve them Data Analyst Skills & Experience: Essential Proven experience in a Data Analyst or Business Intelligence role within a manufacturing or engineering environment Strong experience work...

As they scale, they need a Data Scientist/ML Engineer to bridge the gap between complex datasets and actionable ad-tech performance. Experienced Engineer: You have 3+ years of professional experience in data science, ideally within a product-focused company.

The Lead Data Scientist will be responsible for developing and implementing data science solutions that drive business growth and innovation. The ideal candidate will have a strong background in building data science, machine learning, and generative AI use cases.

To tackle these problems head-on, we're expanding our data team with a dedicated Data Analyst. Be a key owner of data quality, building out insights that serve the data team itself to help guide our data efforts towards cleaner and richer data.

Previous positions leading Analytics and Data will be considered an advantage. The VP, Data, Analytics & AI is an executive leadership role focused on leveraging data, analytics, and AI to drive business value, foster a data-driven culture, and ensure the effective governance and utilization of data assets across the organization.

String database skills Worked with a combination of cloud based big data technologies (Google Big Query, Spanner,MVS DB2 Cloud Data Flow, Cloud Composer, Cloud Functions, Cloud Pub Sub, GKE, Spark, Python and SQL, Nifi) and (OLTP and Data warehousing) within SQL, RDBMS’s. Working exp on Data flow / data fusion/data proc to build pipelines.