Data Analyst

Job Family:

Data Science & Analysis (Digital)

Travel Required:

None

Clearance Required:

Ability to Obtain Public Trust

What You Will Do:

• Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.

• Mine and analyze data from company databases to drive optimization and improvement of product development and business strategies.

• Assess the effectiveness and accuracy of new data sources and data-gathering techniques.

• Develop custom data models and algorithms to apply to data sets.

• Use predictive modeling to increase and optimize customer experiences and other business outcomes.

• Coordinate with different functional teams to implement models and monitor outcomes.

• Develop processes and tools to monitor and analyze model performance and data accuracy.

What You Will Need:

• Bachelor’s Degree in a technical discipline or additional FOUR (4) years related experience.

• Minimum of TWO (2) years of experience in a professional or academic setting.

• Strong problem-solving skills with an emphasis on product development.

• Experience using statistical computer languages (Python and SQL) to manipulate data and draw insights from large data sets.

• Experience working with and creating data architectures.

• Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.

• Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests, and proper usage, etc.) and experience with applications.

• Excellent written and verbal communication skills for coordinating across teams.

• A drive to learn and master new technologies and techniques.

• Must be able to obtain and maintain a Public Trust Clearance.

Software/Tools:

• Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.

• Experience using web services: Redshift, S3, Spark, etc.

• Coding knowledge and experience with several languages: Java, Python

What Would Be Nice To Have:

• AWS Experience is a plus.

• JavaScript experience is a plus.

• Experience with distributed data/computing tools is a plus: Map/Reduce, Hadoop, Hive, Spark, MySQL, etc.

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

• Parental Leave

• 401(k) Retirement Plan

• Group Term Life and Travel Assistance

• Voluntary Life and AD&D Insurance

• Health Savings Account, Health Care & Dependent Care Flexible Spending Accounts

• Transit and Parking Commuter Benefits

• Short-Term & Long-Term Disability

• Tuition Reimbursement, Personal Development, Certifications & Learning Opportunities

• Employee Referral Program

• Corporate Sponsored Events & Community Outreach

• Care.com annual membership

• Employee Assistance Program

• Supplemental Benefits via Corestream (Critical Care, Hospital Indemnity, Accident Insurance, Legal Assistance and ID theft protection, etc.)

• Position may be eligible for a discretionary variable incentive bonus

About Guidehouse
Guidehouse is an Equal Employment Opportunity / Affirmative Action 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, genetic information, or any other basis protected by law, ordinance, or regulation.

Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco.

If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at RecruitingAccommodation@guidehouse.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation.

Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.