Data Analytics Manager – Managing Consultant

Overview
Guidehouse is a leading global provider of consulting services to the public and commercial markets with broad capabilities in management, technology, and risk consulting.

We help clients address their toughest challenges and navigate significant regulatory pressures with a focus on transformational change, business resiliency, and technology-driven innovation.

Across a range of advisory, consulting, outsourcing, and digital services, we create scalable, innovative solutions that prepare our clients for future growth and success.

The company has more than 10,000 professionals in over 50 locations globally.

Guidehouse is a Veritas Capital portfolio company, led by seasoned professionals with proven and diverse expertise in traditional and emerging technologies, markets, and agenda-setting issues driving national and global economies.

For more information, please visit: www.guidehouse.com.

Responsibilities

The role requires a high degree of ingenuity and innovation to develop tools and techniques in the data analytics space.

A candidate can expect to do some or all of the following:

Identify, collect, analyze, and validate data from a variety of data sources

Identify opportunities to design and develop modules that enable effective and repeatable analysis of large datasets

Work with team to identify requirements, design, implement and test analytical methods and solutions

Research, identify, test, and develop software solutions that may enhance existing client service offerings

Implement large-scale data ecosystems including data management, governance, and the integration of structured and unstructured data to generate insights

Leverage automation, cognitive, and science-based techniques to manage data, predict scenarios and prescribe actions

Drive operational efficiency by maintaining data ecosystems, sourcing analytics expertise and providing offerings for continuous insights and improvements

Provide effective team management of and leadership for the client engagement team

Qualifications

Required:
Bachelors Degree in Management Information Systems, Computer Science, Mathematics, Engineering, or related field and 7+ years of experience analyzing large datasets or related work experience in a financial services company OR

Masters Degree in Management Information Systems, Computer Science, Mathematics, Engineering, or related field and 6+ years of experience analyzing large datasets or related work experience in a financial services company

Demonstrated knowledge or advanced business analytics and data mining solutions

Experience analyzing or managing accounting, financial or transactional data

Strong working knowledge of relational databases

Ability to innovate and adapt to a rapidly changing technology landscape and develop/enhance services to meet new client demands

Excellent verbal and written communication skills, as well as demonstrable evidence of effective team leadership, client relationship development and engagement management

SQL proficiency with demonstrated experience in enterprise data principles (RDBMS, Big Data)

Reporting/Visualization Tools (Tableau, PowerBI)

Experience with Scripting Technologies such as R and/or Python

Experience with Statistical tools such as SAS

Due to our contractual requirements, to be eligible for this role, you must be fully COVID-19 vaccinated at time of hire

Preferred:
Ability to perform ETL (Extract, Transform and Load)

Databases (e.g.

Oracle, Sybase, MySQL, Big Data technologies like Hadoop)

Robotics and Machine Learning / Analytic packages (H2O, Palantir)
Practical application of machine learning algorithms

Additional Requirements
The successful candidate must not be subject to employment restrictions from a former employer (such as a non-compete) that would prevent the candidate from performing the job responsibilities as described.

Disclaimer
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.

Rewards and Benefits

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
Tuition Reimbursement, Personal Development & Learning Opportunities
Skills Development & Certifications
Employee Referral Program
Corporate Sponsored Events & Community Outreach
Emergency Back-Up Childcare Program