data analytics lead

Dynamic Management Associates

<p>Dynamic Management Associates are seeking a Data Analytics Lead to support enterprise-wide analytics and data management activities, providing actionable insights to support acquisition decision-making, performance tracking, and program reporting. This role develops dashboards, analytics reports, and predictive insights for VA leadership.</p><p><b>Key Responsibilities</b></p><ul><li>Collect, process, and analyze large datasets to identify trends and insights</li><li>Develop dashboards and data visualizations (e.g., Power BI, CRM systems)</li><li>Support predictive analytics and performance metrics tracking</li><li>Produce reports supporting acquisition and program decisions</li><li>Integrate data from multiple sources to support enterprise analytics</li><li>Support OSDBU and program leadership data requirements</li></ul><p><b>Required Qualifications</b></p><ul><li>Bachelor's degree from Accredited Institution</li><li>Minimum 8 years of experience in data analytics or business intelligence</li><li>Experience with data visualization tools (Power BI, Excel, CRM systems)</li><li>Strong statistical and analytical capabilities</li><li>Experience supporting Federal programs or acquisition environments</li><li>Ability to translate data into actionable insights</li></ul><p>Pay: From $165,000.00 per year</p><p>Education:</p><ul><li>Bachelor's (Required)</li></ul><p>Experience:</p><ul><li>data analytics or business intelligence: 8 years (Required)</li><li>data visualization tools (Power BI, Excel, CRM systems): 8 years (Preferred)</li></ul><p>Work Location: Hybrid remote in Washington, DC 20001</p>

Enterprise Data Analytics Lead

Vizient, Inc.

<p></p><div><div><div><div><div><p>When you&rsquo;re the best, we&rsquo;re the best. We instill an environment where employees feel engaged, satisfied and able to contribute their unique skills and talents while living and working as their authentic selves. We provide extensive opportunities for personal and professional development, building both employee competence and organizational capability to fuel exceptional performance through an inclusive environment both now and in the future.</p><p></p><p><b>
Summary:</b></p><p><br>
In this role, you will lead complex data and financial analytics initiatives that drive strategic decision-making and measurable business outcomes. You will manage high-impact projects, apply advanced modeling techniques to large and diverse datasets, and partner with senior leadership to evaluate and improve business processes. You will deliver customized insights, influence executive decisions, and guide team members in applying best practices to support organizational priorities and client needs.</p><p></p><p><b>
Responsibilities:</b></p><p></p><ul><li><p>
Lead complex data and financial analytics projects with moderate risk and resource requirements.</p></li><li><p>
Deliver customized analyses using internal and external structured and unstructured datasets.</p></li><li><p>
Apply advanced statistical and financial modeling techniques to large data sets.</p></li><li><p>
Identify gaps in reporting and analytical processes and implement improvements.</p></li><li><p>
Evaluate business processes and recommend strategic enhancements in partnership with senior leadership.</p></li><li><p>
Influence executive decision-making through clear presentation of data-driven insights.</p></li><li><p>
Facilitate stakeholder meetings to gather requirements and assess current business processes.</p></li><li><p>
Develop professional recommendations and present preferred courses of action to leadership and clients.</p></li><li><p>
Guide and mentor team members on analytical methodologies and best practices.</p></li><li><p>
Build and maintain strong relationships with internal leaders and clients to align on desired outcomes.</p></li></ul><p></p><p><b>
Qualifications:</b></p><p></p><ul><li><p>
Relevant degree (e.g., Data Analytics, Finance, Supply Chain, Business, or related discipline) preferred. Advanced degree desired.</p></li><li><p>
7 or more years of relevant experience required.</p></li><li><p>
Advanced proficiency in data analytics, financial modeling, and statistical analysis techniques required.</p></li><li><p>
Experience with healthcare supply chain analytics, including knowledge of key supply chain metrics (e.g., cost savings, utilization, contract compliance, and performance benchmarking), required.</p></li><li><p>
Experience leading cross-functional analytics initiatives and working with large, complex datasets from multiple sources required.</p></li><li><p>
Strong technical proficiency in analytics, visualization, and AI-enabled tools such as SQL, Python, R, Power BI, Tableau, machine learning frameworks, and generative AI platforms.</p></li><li><p>
Demonstrated ability to present complex analytical insights to C-suite and executive leadership and influence strategic decision-making.</p></li><li><p>
Excellent written and verbal communication skills.</p></li><li><p>
Strong project management and organizational skills.</p></li><li><p>
Willingness to travel.
</p></li></ul><p></p><p><b>Estimated Hiring Range:</b></p>
At Vizient, we consider skills, experience, and organizational needs in our compensation approach. Geographic factors may adjust the range estimate and hires typically fall below the top range. Compensation decisions are tailored to individual circumstances. The current salary range for this role is $77,400.00 to $135,400.00.<p></p><p>
This position is also incentive eligible.</p><p></p><p>
Vizient has a comprehensive benefits plan! Please view our benefits here:</p><p></p><p>
http://www.vizientinc.com/about-us/careers</p><p></p><p><b>
Equal Opportunity Employer: </b><b>Females/Minorities/Veterans/Individuals</b><b> with Disabilities</b></p><p></p><p>
The Company is committed to equal employment opportunity to all employees and applicants without regard to race, religion, color, gender identity, ethnicity, age, national origin, sexual orientation, disability status, veteran status or any other category protected by applicable law.</p></div></div></div></div></div><p></p>

Data & Financial Analytics Lead

Coptic Orphans

<div><p><b>Senior Data Analyst</b></p><p><br>
</p><p><b>Purpose of the Job</b></p><p>
The Senior Data Analyst plays a critical role in leading advanced data analysis initiatives that uncover meaningful patterns and trends, supporting data-informed decision-making across the organization. This role involves independently sourcing, transforming, and interpreting diverse datasets and translating findings into clear, actionable insights through advanced visualizations and reports tailored for managers and functional leads. By strengthening our data-driven approach, the Senior Data Analyst will play a pivotal role in turning raw information into measurable improvements that support our mission and align with organizational objectives.</p><p></p><p><b><br>
Essential Functions and Responsibilities</b></p><ul><li><p>
Partner with directors and managers across departments to proactively identify opportunities where data analytics can enhance operational effectiveness and support business goals.</p></li><li><p>
Lead the design, implementation, and deployment of predictive and prescriptive models.</p></li><li><p>
Continuously evaluate, refine, and optimize models to improve accuracy, reliability, and business relevance.</p></li><li><p>
Translate machine learning outputs into actionable recommendations that support data-informed decisions by directors and managers.</p></li><li><p>
Deliver impactful reports, dashboards, and data stories tailored for executive audiences and non-technical stakeholders, clearly linking analytics to strategic recommendations.</p></li><li><p>
Design and implement robust data collection strategies from multiple sources (enterprise databases, APIs, external data feeds, unstructured data) while ensuring data integrity and accessibility.</p></li><li><p>
Lead data cleaning, transformation, and validation processes, establishing best practices for data quality, governance, and reliability.</p></li><li><p>
Drive the development and deployment of predictive and prescriptive models to support strategic planning, resource allocation, and operational optimization.</p></li><li><p>
Collaborate with data analysts, developers, and technology leaders to define data architecture, integration requirements, and system implementations.</p></li><li><p>
Provide guidance to junior analysts and contribute to building data literacy across teams.</p></li><li><p>
Proactively research and recommend emerging data technologies, tools, and practices to strengthen analytical capabilities and maintain competitive advantage.</p></li></ul><p></p><p><b><br>
Required Education, Experience, Knowledge, and Skills</b></p><ul><li><p>
Bachelor's degree in Data Science, Computer Science, Information Systems Management or a related field.</p></li><li><p>
3-5 years of relevant professional experience in data analysis, including designing dashboards, delivering reports, and supporting operational or business decisions.</p></li><li><p>
Strong programming experience in Python (Pandas, NumPy, Scikit-learn) or R, with advanced SQL skills for complex queries and database management.</p></li><li><p>
Demonstrated knowledge of ETL frameworks and data warehousing principles.</p></li><li><p>
Strong knowledge of database design, relational and dimensional modeling, and data mining techniques.</p></li><li><p>
Hands-on experience applying advanced statistical concepts, supervised/unsupervised learning, and machine learning algorithms to solve real-world business problems.</p></li><li><p>
Proven ability to design, implement, and deploy predictive and prescriptive models.</p></li><li><p>
Ability to evaluate model performance, optimize accuracy, and translate outputs into actionable business strategies.</p></li><li><p>
Strong experience with data visualization tools (Power BI, Tableau, or similar).</p></li><li><p>
Familiarity with cloud-based data platforms (Azure, AWS, Google Cloud) and associated analytics services.</p></li><li><p>
Experience with web analytics platforms (Google Analytics, Adobe Analytics) is a plus.</p></li><li><p>
Proficiency in Microsoft Office Suite (Word, Excel, PowerPoint), as well as Outlook, Teams, and SharePoint.</p></li><li><p>
Excellent written and verbal communication skills, with confidence in presenting to directors &amp; managers.</p></li><li><p>
Ability to translate complex data into clear, actionable insights for diverse audiences.</p></li><li><p>
Collaborative mindset and willingness to share knowledge with team members.</p></li><li><p>
Proficient in both written and spoken English.</p></li><li><p>
Exceptional analytical, problem-solving, and critical-thinking skills.</p></li><li><p>
Ability to manage multiple priorities and deliver high-quality work independently.</p></li></ul><p></p><p><b><br>
Travel and Working Requirements
</b></p><ul><li><p>Limited to a typical office environment, such as walking, sitting, typing, using office equipment, and occasional lifting of boxes or luggage during travel.
</p></li><li><p>Occasional national or international travel may be required.</p></li><li><p>
Working out of the official hours and on weekends may be required.</p></li></ul></div><p></p>

Senior Data Analyst

SAIC

<div><p>Job ID: 2610293</p><p><b>
Location: </b>Springfield, VA, US</p><p><b>
Date Posted: </b>2026-03-19</p><p><b>
Category: </b>Information Technology</p><p><b>
Subcategory: </b>Data Scientist</p><p><b>
Schedule: </b>Full-Time</p><p><b>
Shift: </b>Day Job</p><p><b>
Travel: </b>No</p><p><b>
Minimum Clearance Required: </b>TS.SCI</p><p><b>
Clearance Level Must Be Able to Obtain: </b>TS/SCI with Poly</p><p><b>
Potential for Remote Work: </b>ORA_ON_SITE</p><p><b><br>
Description</b>
</p><p>﻿SAIC&reg; is a premier Fortune 500&reg; mission integrator focused on advancing the power of technology and innovation to serve and protect our world. Our robust portfolio of offerings across the defense, space, civilian and intelligence markets includes secure high-end solutions in mission IT, enterprise IT, engineering services and professional services. We integrate emerging technology, rapidly and securely, into mission critical operations that modernize and enable critical national imperatives.</p><p>
We are seeking a highly motivated <b>Senior Data Scientist</b> to lead the integration and application of advanced data analytics to solve complex business challenges and enhance mission security. The contractor will serve as a subject matter expert (SME), responsible for the entire lifecycle of data analysis, refining business requirements and developing sophisticated analytical models to provide strategic recommendations that improve organizational efficiency and mitigate insider threats. This role demands a blend of deep technical expertise, strong business acumen, and the ability to lead, manage, and support critical operational and policy-related initiatives.</p><div><p><b>
Work will be performed </b><b>at the customer site in Springfield, VA.</b></p></div><div><p><b>
***The hiring of this position is contingent upon contract award. Anticipated award is fall of 2026.***</b></p><div><p><b>
Responsibilities will include the following:</b></p></div><div><ul><li><div>
Advanced Analytics and Model Development: Architect, develop, and maintain advanced analytic models, visualizations, and tools to deter, detect, and mitigate insider threats. Apply expert knowledge of industry-standard data science principles to identify anomalous events and provide actionable intelligence.</div></li></ul></div><div><ul><li><div>
Strategic Business Analysis: Proactively collaborate with project requestors, senior stakeholders, and program managers to define, clarify, and refine complex business needs and strategic objectives. Utilize data-driven insights to recommend significant changes and process improvements.</div></li></ul></div><div><ul><li><div>
Process Improvement and Policy Operations: Lead, manage, and support business operations and policy development lifecycles. Serve as an SME for the development, review, coordination, promulgation, and compliance of enterprise-wide policies, including the maintenance of Self-Inspection Checklists and related documentation.</div></li></ul></div><div><ul><li><div>
Risk and Performance Analytics: Own the development and maintenance of sophisticated risk-scoring models and other data analytics tools. Drive the implementation and sustainment of data analysis platforms, ensuring system integrity by capturing and analyzing metrics on system errors, failures, and performance.</div></li></ul></div><div><ul><li><div>
Stakeholder Engagement and Communication: Translate complex quantitative and qualitative analysis into clear, compelling visuals, dashboards, and executive-level reports. Provide authoritative visual, technical, and editorial guidance, and confidently brief senior leadership on analytical findings, forecasts, and strategic recommendations.</div></li></ul></div><div><ul><li><div>
Data Governance and Integrity: Oversee the capture, maintenance, and accumulation of statistics, ensuring the accuracy of data related to timelines, product transfers between domains, and other key performance indicators.</div></li></ul></div></div>
<p></p><p><b>Qualifications</b>
</p><div><div><b>Required Qualifications include:</b></div></div><div><ul><li><div>
Active TS/SCI with Polygraph</div></li></ul></div><div><ul><li><div>
Education: A minimum of a Master&rsquo;s Degree in Data Science, Statistics, Business, or a related field.</div></li></ul></div><div><ul><li><div>
Experience: 7+ years proven experience in integrating, developing, and maintaining analytic models, visualizations, and tools, preferably in a security or threat-detection context. In lieu of a masters degree, 10+ years of experience. In lieu of a bachelor&rsquo;s degree, 15+ years of experience.</div></li></ul></div><div><ul><li><div>
Expert-level knowledge of data analytics and data science principles, with a demonstrated ability to apply them to identify anomalous events and create data-driven forecasts.</div></li></ul></div><div><ul><li><div>
Extensive experience collaborating with stakeholders at all levels to define business requirements and translate them into technical solutions.</div></li></ul></div><div><ul><li><div>
Demonstrated ability to lead process improvement initiatives and contribute to the full lifecycle of policy development and business operations.</div></li></ul></div><div><ul><li><div>
Mastery of data visualization and dashboard development using data sets from various sources.</div></li></ul></div><div><ul><li><div>
Exceptional ability to transform complex data sets into compelling visuals, reports, and briefings for leadership.</div></li></ul></div><div><ul><li><div>
Excellent verbal and written communication skills, with experience providing technical and editorial guidance.</div></li></ul></div><div><ul><li><div>
Direct experience supporting and maintaining risk-scoring models or similar predictive analytic systems</div></li></ul></div><div><ul><li><div>
Experience in a role requiring significant cross-functional collaboration and the ability to manage competing priorities.</div></li><li><div><ul><li><div>
Proficiency in creating and editing visual content such as charts and graphs to represent data.</div></li></ul></div></li><li><div><ul><li><div>
At least 2 years demonstrated experience in one or more Geospatial Information Systems tools such as ArcView, ArcGIS, Remote View, ArcIMS, ERDAS Imagine, Remote View, ERDAS Imagine, Macromedia Dreamweaver, Macromedia Fireworks, Photoshop, HTML, and FrameMaker.</div></li></ul></div></li><li><div><ul><li><div>
Demonstrated coding experience to support writing scripts with tools such as but not limited to Java and Python.</div></li></ul></div></li><li><div><ul><li><div>
Demonstrated ability to use Share Point, Tableau, Redmine, and other systems/databases to manipulate and build data visualization.</div></li><div></div><li><div><b><br>
Desired Qualifications include:</b></div></li><li><div><div>
Experience in a leadership or mentorship role within a data analytics or business intelligence team.</div></div></li><li><div><ul><li><div>
 Familiarity with geospatial analysis, web development principles, or specific program leadership reporting structures.</div></li></ul></div></li></ul></div></li></ul></div></div><p></p>

Senior Data Scientist

National Grid

<div><div><div><div><h3 class="jobSectionHeader"><b>About us</b></h3></div><div><p>
At National Grid, we keep people connected and society moving. But it&rsquo;s so much more than that National Grid supplies us with the environment to make it happen. As we generate momentum in the energy transition for all, we don&rsquo;t plan on leaving any of our customers in the dark. So, join us as a <b>Lead Data Engineer</b> and find your superpower.</p><p>
We want to find an innovative, adaptable, and results-oriented <b>Lead Data Engineer</b> for our IT &amp; Digital department. This position can be located in <b>Waltham, MA, Brooklyn, NY, or Syracuse, NY</b> (candidates may also reside in either <b>Connecticut, New Jersey, New Hampshire, Pennsylvania, Rhode Island, Vermont, Maine</b> or the <b>UK</b>). If you yearn to be innovative, contribute new ideas, and play a critical part on our team, we want to hear from you!</p><p>
National Grid is hiring a <b>Lead Data Engineer</b> for our IT and Digital team. This role is designated as hybrid, with an expectation of one or two days per month in one of our offices. Requirements may vary based on business needs and company policy.
</p></div></div><div><div><h3 class="jobSectionHeader"><b>Job Purpose</b></h3></div><div><p>
As Lead Data Engineer, you will shape Customer Domain data capabilities to meet business objectives. You will lead the design and implementation of Customer Data solutions, provide technical guidance for related programs and products, and oversee end-to-end development of the Customer data platform.</p></div></div><div><div><h3 class="jobSectionHeader"><b>
Key Accountabilities</b></h3></div><div><div><b>
Set the Data &amp; AI Strategy</b><br>
<ul><li>Execute and evolve a multi-year data, analytics, and AI strategy aligned to National Grid Enterprise architecture team to support digital priorities</li><li>Continuously adapt the strategy as technology and AI capabilities evolve to maximize value realization</li><li>Establish a federated data and analytics model that enables speed, consistency, and business ownership</li></ul><br>
<b>
Enable Trusted, Governed Data</b><br>
<ul><li>Lead data governance, quality, and stewardship in partnership with IT and business leaders</li><li>Ensure data is accessible, reliable, secure, and compliant with regulatory, privacy, and cybersecurity requirements</li><li>Co-lead a Data Governance Council that drives accountability and standards</li></ul><br>
<b>
Deliver Analytics, AI &amp; Business Insight</b><br>
<ul><li>Oversee development of analytics, reporting, machine learning, and AI solutions that deliver actionable insight</li><li>Advance predictive and prescriptive analytics to support safety, asset health, leak detection, capital planning, and workforce optimization</li><li>Guide responsible adoption of Generative AI and automation to improve productivity and decision-making</li></ul><br>
<b>
Translate Data into Business Value</b><br>
<ul><li>Serve as a trusted partner to executives and business leaders&mdash;translating complex data into clear, compelling insights</li><li>Lead enterprise dashboards, KPIs, and performance reporting tied to safety, reliability, efficiency, and customer outcomes</li><li>Build self-service analytics capabilities and data literacy across the organization</li></ul><br>
<b>
Lead People &amp; Change</b><br>
<ul><li>Build, lead, and develop a high-performing team of data scientists, engineers, analysts, and visualization experts</li><li>Foster a culture of curiosity, innovation, and continuous improvement</li><li>Partner closely with Process Improvement, Change Management, and IT to ensure adoption and sustained impact</li></ul></div></div></div><div><div><h3 class="jobSectionHeader"><b>
Qualifications</b></h3></div><div><p><b>
Key Skills &amp; Technologies</b></p>
Programming: Python, SQL<ul><li>.</li>
Cloud Platforms: Azure (Preferred), AWS, Google Cloud (GCP)<li>.</li>
Databases &amp; Warehouses: Snowflake, SQL/NoSQL databases<li>.</li>
Tools: Matillion, CDC (Qlik, SSIS), Power B<li>i</li></ul><p><b>
Required</b></p>
Bachelor&rsquo;s or master&rsquo;s degree in data science, Computer Science, Analytics, Engineering, Information Systems, or related field is preferre<ul><li>d</li>
10+ years of experience leading data, analytics, or AI initiatives in complex organization<li>s</li>
5+ years of people leadership experienc<li>e</li>
Proven expertise in enterprise data strategy, analytics, and governanc<li>e</li>
Strong technical fluency across data platforms, analytics tools, and AI/ML concept<li>s</li>
Ability to influence senior leaders and translate technical concepts for non-technical audience<li>s</li></ul><p><b>
Preferred</b></p>
Utility, energy, or infrastructure industry experienc<ul><li>e</li>
Advanced degree or relevant certifications (AI/ML, cloud, data engineering<li>)</li>
Familiarity with Agile/Scrum and formal change management methodologie<li>s</li></ul><p><b>
How You&rsquo;ll Work</b></p>
Highly collaborative, enterprise-facing leadership rol<ul><li>e</li>
Hybrid with strong partnership across Operations, IT, Process Improvement, and executive leadershi<li>p</li></ul><p>
Don&rsquo;t meet every single requirement? Studies have shown that women and people of colour are less likely to apply for jobs unless they meet every single qualification. At National Grid, we are committed to building a diverse, inclusive, and authentic workplace for everyone. So, if you&rsquo;re excited about this role but your experience or qualifications don&rsquo;t match the job description exactly, we encourage you to apply anyway. You might just be the right person for our growing business in this role or another one.</p><p>
#LI-MB2</p><p>
#LI-HYBRID</p></div></div></div><p>
Salary</p><p><b>
Waltham</b>: $142,000 - $166,000 a year</p><p><b>
Brooklyn</b>: $152,000 - $178,000 a year</p><p><b>
Syracuse</b>: $126,000 - $148,000 a year</p><p>
National Grid utilizes an assessment that evaluates the job qualifications/characteristics using AI or statistically based scoring. For more information, please view NYC Local Law 144.</p><p>
This position has a career path which provides for advancement opportunities within and across bands as you develop and evolve in the position; gaining experience, expertise and acquiring and applying technical skills. Candidates will be assessed and provided offers against the minimum qualifications of this role and their individual experience.</p><p>
National Grid is committed to providing equal employment opportunities to all employees and applicants for employment regardless of protected class. We do not discriminate on the basis of race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, age, disability, genetic information, or any other protected status in accordance with applicable federal, state, and local laws. National Grid maintains affirmative action programs for individuals with disabilities and protected veterans.</p><p>
Our employment practices are designed to ensure that all individuals are treated fairly and with respect throughout the hiring process and during employment. National Grid complies with all applicable federal, state, and local anti-discrimination laws. We are dedicated to fostering a workplace that is free from unlawful discrimination and harassment, and we encourage a culture of respect for all.</p></div>

Lead Data Engineer

Boardwalk Pipeline Partners

Boardwalk is a limited partnership operating in the midstream portion of the natural gas and natural gas liquids industry, providing transportation and storage services for our customers. Our 14,000 miles of pipeline and storage assets provide diverse market connectivity to producers and end-users who need reliable sources of natural gas for power generation, home heating or petrochemical feedstocks. We have the experience, knowledge, and flexibility to design service offerings and create system enhancements tailored to our customers’ needs throughout the 13 states in which we operate. As an organization focused on sustainability, we are committed to protecting the environment while delivering this energy source. This commitment is made to our customers, employees, and the communities in which we operate. We incorporate environmental stewardship, safety, and compliance into our day-to-day operations and seek to strengthen and support the communities we serve. Additional information about the company can be found online at www.bwpipelines.com.
<br><br>
Join a collaborative, high-performing HR team focused on delivering data-driven insights that shape workforce strategy and business outcomes. The People Analytics Lead will lead the development of the People Analytics Center of Excellence (COE) by ensuring the integrity, scalability, and strategic use of HR data across the enterprise.
<br>Reporting to the VP Total Rewards, HRIS & People Analytics this role leads the development and governance of the HR data warehouse, delivers actionable human capital insights, and enables HR and business leaders to make informed decisions through advanced reporting, analytics, and data visualization.
<br>This position operates independently, drives continuous improvement, and serves as a subject-matter leader on HR analytics initiatives.
<br><br>
Summary Overview
<br><br>
The People Analytics Lead enables data-driven workforce decisions by designing, governing, and delivering trusted HR analytics across the enterprise. This role leads the HR data warehouse strategy, modernizes reporting capabilities, and provides actionable insights that advance organizational effectiveness. Operating as a subject-matter leader, the position partners closely with HR, IT, and business leaders to translate complex human capital data into strategic recommendations.
<br><br>
Position Description
<br><br>
Lead the design and development of the People Analytics CoE at Boardwalk HR. Own the maintenance, integrity, and optimization of the HR data warehouse and human capital analytics ecosystem. Modernize our current reporting capabilities to create insightful reporting which delivers actions and enables decision making. Help support the implementation of a cloud-based HRIS system and leverage AI where available to improve and automate our reporting.
<br><br>
Key Responsibilities
<br><br>
<ul>
<li>Support and govern all HR data warehouse maintenance and human capital analytics to ensure data integrity, scalability, and alignment with enterprise reporting standards.</li>
<li>Evaluate emerging HR technologies and analytics capabilities to ensure a future-ready data infrastructure</li>
<li>Research and interpret business trends and workforce issues to provide insights and strategic recommendations to senior management on human capital performance.</li>
<li>Translate analytical findings into executive-ready reports, dashboards, and proposals, including recommendations for action or implementation plans, and present insights to HR leadership.</li>
<li>Participate in and support enterprise initiatives designed to advance strategic objectives and operational goals, including analysis of human capital trends to inform future workforce strategy.</li>
<li>Collaborate with internal stakeholders and cross-functional teams to design and implement programs that drive growth, efficiency, and organizational effectiveness, and evaluate outcomes against defined success metrics.</li>
<li>Identify and assess industry trends and benchmarking data, participating in external forums to build institutional knowledge and apply best practices to the organization’s people analytics strategy.</li>
<li>Leverage HR systems and analytics tools such as Dayforce, Oracle Fusion, Spotfire and Power BI to deliver accurate, timely, and meaningful data and insights across the organization.</li>
<li>Partner with IT data architecture and Reporting COE teams to improve data quality, governance, and reporting processes, ensuring alignment with enterprise data strategy.</li>
<li>Create intuitive, data-as-a-service environments that empower HR partners and business leaders to make real-time, data-driven decisions.</li>
<li>Drive data literacy across HR by coaching and mentoring partners on analytics tools and strategic inquiry.</li>
<li>Coach HR partners and stakeholders on navigating analytics platforms, interpreting insights, and framing strategic questions that influence business leaders and drive high-impact outcomes.</li>
<li>Evaluate and recommend emerging HR technologies and analytical tools to support a scalable, future-ready data infrastructure; partner with IT and business stakeholders to improve data accessibility and usability.</li>
<li>Perform other duties as assigned in support of HR analytics, reporting, and workforce strategy objectives.</li>
</ul>
Qualifications
<br><br>
Education & Experience
<br><br>
<ul>
<li>Bachelor’s degree preferred</li>
<li>Must have at least 5 years of experience in HR reporting, analytics and application support (HR Systems and/or Reporting and Analytics) or equivalent experience</li>
<li>Strong analytical skills and success in using data driven insights to make business decisions.</li>
<li>Specialized experience is building and maintaining data warehouses, collaborating with IT to develop robust data testing protocols, and developer skill set for building reports and dashboards</li>
<li>Strong project and relationship management skills and able to collaborate and mentor effectively across cross functional teams.</li>
<li>Excellent written and verbal communication and networking skills</li>
</ul>
Skills
<br><br>
<ul>
<li>Must be able to analyze data and validate assumptions</li>
<li>Previous process improvement analysis skills preferred</li>
<li>Must have attention to detail and understanding of data elements</li>
<li>Must be discreet with access to highly privileged employee data</li>
<li>Must be able to manage time and work priorities</li>
</ul>
Systems & Applications
<br><ul>
<li>Dayforce</li>
<li>Microsoft Power BI and Excel</li>
<li>Spotfire</li>
<li>Data modeling and system testing tools</li>
</ul>
<b>ADDITIONAL INFORMATION:</b><br>
Boardwalk Pipelines, LP, maintains a drug-free workplace and will require pre-employment drug & substance abuse testing before hiring.
<br><br>
Boardwalk Pipelines, LP, is an equal opportunity employer. All applicants will be considered for employment regardless of race, color, religion, age, sex, gender identity, national origin, veteran, or disability status.

People Analytics Lead

Joulé

<div>
 <p>
  <strong>
   Job Title:
  </strong>
  Analytics Engineering Lead &ndash; KPI &amp; Data Metrics
  <br/>
  <strong>
   Location:&nbsp;
  </strong>
  1555 Harding Street, Indianapolis, IN 46221
  <br/>
  <strong>
   Hours/Schedule:
  </strong>
  Monday&ndash;Friday, 8 am to 5 pm
  <br/>
  <strong>
   Compensation:
  </strong>
  $63-70 per hour DOQ
  <br/>
  <strong>
   Type:
  </strong>
  12 month contract
 </p>
 Overview
 <p>
  The Analytics Engineering Lead &ndash; KPI &amp; Data Metrics partners with business, analytics, and data engineering teams to design scalable data models and standardized performance metrics that enable reliable, automated insights across the organization. This role focuses on translating business objectives into well-defined KPIs, building analytics-ready datasets, and establishing consistent measurement frameworks that support enterprise reporting and self-service analytics.
 </p>
 Responsibilities
 <ul>
  <li>
   <p>
    Define, standardize, and govern KPIs and performance metrics aligned with business objectives.
   </p>
  </li>
  <li>
   <p>
    Translate business questions into metric logic, dimensional models, and analytical outputs that support scalable reporting.
   </p>
  </li>
  <li>
   <p>
    Partner with data engineering and platform teams to design data models, transformations, and pipelines that produce analytics-ready datasets.
   </p>
  </li>
  <li>
   <p>
    Ensure KPI definitions are traceable to authoritative data sources and implemented in a reusable, scalable way.
   </p>
  </li>
  <li>
   <p>
    Develop and steward standardized metric frameworks and semantic layers that support consistent reporting across teams.
   </p>
  </li>
  <li>
   <p>
    Reduce manual reporting by enabling automated metric calculations and scalable analytics workflows.
   </p>
  </li>
  <li>
   <p>
    Analyze existing reporting and measurement practices to identify opportunities for simplification, standardization, and automation.
   </p>
  </li>
  <li>
   <p>
    Promote reuse of data assets, KPI definitions, and analytics patterns across technical and analytical teams.
   </p>
  </li>
  <li>
   <p>
    Provide subject matter expertise in analytics engineering best practices, metric design, and performance measurement.
   </p>
  </li>
  <li>
   <p>
    Evaluate analytics and measurement capabilities over time and recommend enhancements aligned with the broader analytics roadmap.
   </p>
  </li>
 </ul>
 Qualifications
 <p>
  <strong>
   Must-Have
  </strong>
 </p>
 <ul>
  <li>
   <p>
    Experience designing and managing KPIs and performance measurement frameworks within pharmaceutical or life sciences environments.
   </p>
  </li>
  <li>
   <p>
    Strong proficiency with SQL and experience working with analytics-ready data models.
   </p>
  </li>
  <li>
   <p>
    Experience collaborating with data engineering teams to define data models, transformations, and pipelines.
   </p>
  </li>
  <li>
   <p>
    Experience translating business objectives into standardized metrics and scalable reporting frameworks.
   </p>
  </li>
  <li>
   <p>
    Background in analytics engineering, business intelligence, or data analytics roles supporting enterprise reporting.
   </p>
  </li>
 </ul>
 <p>
  <strong>
   Nice-to-Have
  </strong>
 </p>
 <ul>
  <li>
   <p>
    Experience with R for statistical programming and analytics workflows.
   </p>
  </li>
  <li>
   <p>
    Experience with Python for analytics or data engineering tasks.
   </p>
  </li>
  <li>
   <p>
    Familiarity with Microsoft BI tools and SQL Server environments.
   </p>
  </li>
  <li>
   <p>
    Experience working with statistical programming and analytical modeling.
   </p>
  </li>
 </ul>
 Benefits
 <p>
  System One, and its subsidiaries including Joul&eacute;, ALTA IT Services, and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan.
 </p>
 <p>
  System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law.
  <br/>
  <br/>
 </p>
 <br/>
 Ref: #558-Scientific
</div>


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