Lead Data Analyst

Job Family:

Data Science & Analysis

Travel Required:

None

Clearance Required:

Active Top Secret SCI with Polygraph

What You Will Do:
Our Data and Analytics consultants help clients maximize the value of their data. This high performing team works with clients to implement the full spectrum of data analytics and data science, from data querying and data wrangling to data visualization and dashboarding for business intelligence (BI), to predictive analytics, machine learning, and artificial intelligence. They help clients define their information strategy, architecture, and governance, get the most value from business intelligence and analytics, and implement enterprise content and data management solutions to enable business insights, reduce cost and complexity, increase trust and integrity, and improve operational effectiveness.

• Use your expertise in developing, building, and maintaining data assets and managing a team.

• You will be expected to speak confidently and intelligently about a variety of data products, methodologies, industry trends and challenges.

• This role will be involved in managing and maintaining client relationships as well as proactively participate in business development discussions.

Duties will include:

• Coordinating and leading internal team actions to meet project and client objectives.

• Consulting with the client to determine analytics required, technical solutions and methods to ensure a high confidence model for client decision making.

• Interfacing with Client Subject Matter Experts to design, develop, validate and deploy capabilities that enable client objectives.

What You Will Need:

• An ACTIVE and MAINTAINED TS/SCI Federal or DoD security clearance with a FULL SCOPE (FS/FSP) polygraph

• Bachelor’s degree

• SIX (6) or more years of experience Data Science or Data Analytics.

• Experience cleaning, manipulating, and pre-processing data using Python.

• Experience developing reports and dashboards for business intelligence, utilizing Data Visualization tools such as Tableau

• Excellent communication skills, both verbal and written

What Would Be Nice To Have:

• M.S./M.A. in Data Science/Analytics, Statistics, Mathematics, Operations Research, Computer Science, Information Systems, Engineering, Economics, or similar quantitative/computational discipline.

• Tableau Desktop Certification: Certified Professional, Certified Associate, Specialist. Tableau Server Certification: Certified Professional, Certified Associate.

• Proficiency querying data in SQL.

• Experience performing data science / analytics, such as statistical modelling, predictive analysis, or machine learning using Python or R.

• Experience with MS Forms and Power Automate.

• Ability to support clients in identifying and addressing needs, building relationships, and driving solutions forward and experience leading small teams.

What We Offer:

Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace.

Benefits include:

• Medical, Rx, Dental & Vision Insurance

• Personal and Family Sick Time & Company Paid Holidays

• Position may be eligible for a discretionary variable incentive bonus

• Parental Leave and Adoption Assistance

• 401(k) Retirement Plan

• Basic Life & Supplemental Life

• Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts

• Short-Term & Long-Term Disability

• Student Loan PayDown

• Tuition Reimbursement, Personal Development & Learning Opportunities

• Skills Development & Certifications

• Employee Referral Program

• Corporate Sponsored Events & Community Outreach

• Emergency Back-Up Childcare Program

• Mobility Stipend

About Guidehouse
Guidehouse is an Equal Employment Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, national origin, ancestry, citizenship status, military status, protected veteran status, religion, creed, physical or mental disability, medical condition, marital status, sex, sexual orientation, gender, gender identity or expression, age