Senior Analytics Workstream Lead

Rosslyn, Virginia, United States

Deloitte

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Senior Analytics Workstream Lead

Data Analytics | Data Management, Maintenance and Operations

Rosslyn, Virginia, United States

Position Summary

In this age of disruption, organizations need to navigate the future with confidence by tapping into the power of data analytics, robotics, and cognitive technologies such as Artificial Intelligence (AI). Our Strategy & Analytics portfolio helps clients leverage rigorous analytical capabilities and a pragmatic mindset to solve the most complex of problems. By joining our team, you will play a key role in helping to our clients uncover hidden relationships from vast troves of data and transforming the Government and Public Services marketplace.

Work you’ll do

As an Analytics Workstream Lead, you will work in a high-visibility role focused on leading the end-to-end development of the team’s overarching product portfolio including architecting data pipelines, Microsoft Power Platform integration and BI solutions. This role requires an ability to drive industry best practices for developing and scaling enterprise-level data pipelines and a proactive “Product Developer” mindset to facilitate cross-functional collaboration and intuitive UI/UX design.

The team

Deloitte’s Government and Public Services (GPS) practice – our people, ideas, technology and outcomes—is designed for impact. Serving federal, state, & local government clients as well as public higher education institutions, our team of over 15,000+ professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise.

The GPS AI & Data Operations offering is responsible for developing advanced analytics products and applying data visualization and statistical programming tools to enterprise data in order to advance and enable the key mission outcomes for our clients. Our team supports all phases of analytic work product development, from the identification of key business questions through data collection and ETL, and from performing analyses and using a wide range of statistical, machine learning, and applied mathematical techniques to delivery insights to decision-makers. Our practitioners give special attention to the interplay between data and the business processes that produce it and the decision-makers that consume insights.

Qualifications Required:

  • Bachelor's Degree in a relevant field
  • 5+ years of data engineering experience including experience architecting data pipelines, working with Microsoft Power Platform integration (PowerApps, Power Automate)
  • 5+ years of data visualization experience with a focus on PowerBI and Tableau Business Intelligence solutions
  • 5+ years of Python experience
  • Must hold an active Secret or Interim Secret Clearance
  • Ability to travel once a month on average to Norfolk, VA
  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future

Preferred:

  • Naval aviation or supply chain analytics experience
  • Strong working knowledge of Databricks and Jupiter/ADVANA offerings
  • Experience with distributed data processing such as Spark and Hadoop
  • AI/ML modeling experience

Information for applicants with a need for accommodation: https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html

Recruiting tips

From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters. Benefits

At Deloitte, we know that great people make a great organization. We value our people and offer employees a broad range of benefits. Learn more about what working at Deloitte can mean for you. Our people and culture

Our diverse, equitable, and inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our client most complex challenges. This makes Deloitte one of the most rewarding places to work. Learn more about our inclusive culture. Our purpose
Deloitte’s purpose is to make an impact that matters for our clients, our people, and in our communities. We are creating trust and confidence in a more equitable society. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. We are focusing our collective efforts to advance sustainability, equity, and trust that come to life through our core commitments. Learn more about Deloitte's purpose, commitments, and impact. Professional development

From entry-level employees to senior leaders, we believe there’s always room to learn. We offer opportunities to build new skills, take on leadership opportunities and connect and grow through mentorship. From on-the-job learning experiences to formal development programs, our professionals have a variety of opportunities to continue to grow throughout their career.

As used in this posting, "Deloitte" means Deloitte Consulting LLP, a subsidiary of Deloitte LLP. Please see www.deloitte.com/us/about for a detailed description of the legal structure of Deloitte LLP and its subsidiaries.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.

Requisition code: 204302

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: Business Intelligence Consulting Data Analytics Databricks Data management DataOps Data pipelines Data visualization Engineering ETL Hadoop Machine Learning Pipelines Power BI Python Robotics Spark Statistics Tableau Travel UX

Perks/benefits: Career development

Region: North America
Country: United States

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