Senior Data Analytics Manager

3 weeks ago

Reston, Virginia, United States Smart Synergies Full time

Job Summary

Smart Synergies is seeking a highly skilled Senior Data Analytics Manager to lead our advanced analytics team. The ideal candidate will have a strong background in data science, machine learning, and statistical analysis.

Key Responsibilities

  • Oversee a team of data analysts and data scientists to provide analytical support through machine learning, statistical analysis, causal analysis, and modeling and simulation.
  • Lead and collaborate with a team of data scientists, data analysts, and HR functional SMEs to understand business processes, develop analytical requirements, and interpret and communicate analytic results.
  • Frame and scale data problems to effectively analyze, visualize, and derive data solutions.
  • Understand and analyze complex, organization-specific datasets.
  • Build models using machine learning, rule-based, or traditional statistical methods.
  • Contribute to the development of the organization's advanced analytics strategy and roadmap.
  • Implement and deliver technical and process consulting through management of standard consulting projects.
  • Transform data and analysis into informative visualizations and interactive dashboards using open-source and commercially available tools.
  • Derive insights and analytic narratives from data and visualizations for effective storytelling and communication.
  • Operate in a fast-paced, client-focused environment, delivering analysis and reporting.
  • Develop techniques to integrate, consolidate, and structure data for analytical use.
  • Advise non-technical customers on the interpretation and use of data analysis products, dashboards, and reports.
  • Manage relationships with key stakeholders to ensure alignment of analytical solutions with business goals.
  • Oversee project timelines, deliverables, and resources to ensure projects are completed on time and within budget.
  • Stay updated with the latest advancements in analytics and data science, and provide technical guidance to the team.
  • Provide training and mentoring to junior team members to build the team's overall capability.
  • Ensure the accuracy and reliability of analytical outputs through rigorous quality assurance and validation processes.

Requirements

  • Bachelor's degree in data science, mathematics, statistics, economics, computer science, engineering, or a related quantitative discipline.
  • Advanced degree (master's or Ph.D.) in a relevant field is preferred.
  • 5-10 years of relevant experience, with at least 2 years as a technical lead or task lead.
  • Proven track record of managing and delivering complex analytical projects.
  • Proficiency in object-oriented programming languages such as Python and Java and/or experience with computational analysis tools like R and MATLAB.
  • Familiarity with data science libraries such as scikit-learn, PyTorch, keras.
  • Competence in creating meaningful data visualizations and interactive dashboards that communicate findings and relate them to business impact.
  • Experience with visualization platforms like Tableau, Qlik, Power BI, RShiny, Plotly, and Tableau expertise strongly preferred.
  • Working knowledge of databases and strong SQL is desired.
  • Preferred experience includes linking analytic and data visualization products to database connections.
  • Familiarity with data science methods related to data architecture, data munging, data and feature engineering, and predictive analytics.
  • Experience with unstructured text and natural language processing is preferred.
  • Superior communication skills, both oral and written, with the ability to convey complex technical concepts to non-technical stakeholders.
  • Demonstrated ability to mentor and develop junior team members.
  • Strong stakeholder management skills, with the ability to build and maintain relationships across the organization.
  • Ability to work in a fast-paced, solutions-oriented environment.
  • Strong analytical and problem-solving skills.
  • Detail-oriented with a commitment to delivering high-quality work.
  • Ability to work both independently and as part of a collaborative team.
  • Active TS/SCI CI Poly security clearance.

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