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Guidehouse Workforce Analytics Senior Consultant in Albany, New York

Overview

Guidehouse is a leading global provider of consulting services to the public sector and commercial markets, with broad capabilities in management, technology, and risk consulting. By combining our public and private sector expertise, we help clients address their most complex challenges and navigate significant regulatory pressures focusing 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 help our clients outwit complexity and position them for future growth and success. The company has more than 12,000 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

We are looking to bring on a workforce analytics senior consultant to help lead our client from data to insight, and ensure their customers have the resources and tools to support the understanding of their workforce. The person in this position will leverage a wide range of skills including data analysis, change management, data visualization, survey research, and project management to support HR data users and senior leadership alike in their effective use and decision making around human capital data. As a Senior Consultant (Data Scientist) you will need to have a good understanding of how to extract, transform and load data from various sources. Further, you will need to make sense of this data - specifically HR/Workforce data – and visualize and explain this data. This may entail but will not be limited to producing metrics, dashboards, and theories elucidate the data and what the data means to the organization.

Job Description/Responsibilities:

  • Develop advanced analytics and innovative data mining -solutions, utilizing CRISP-DM methodologies and incorporating advanced mathematical algorithms, statistics, machine learning, robotics process automation, artificial intelligence and other advanced techniques.

  • Develop and maintain new or existing structures that synthetases data, aggregated from many data sources for data mining and predictive/forecasting models with industry-standard data mining algorithms.

  • Provide context and supporting documentation of findings, techniques utilized, and considered options.

  • Create and communicate analysis findings in consumable formats for stakeholders such as data visualizations, data stories or others.

  • Analyze, evaluate and integrate data mining solutions to complex and diverse data sets.

  • Practice the application of optimum data mining techniques in accordance with appropriate specifications, quality standards, schedule, and funding guidelines.

  • Provide support to primary point of contact on data mining projects or programs and advise all stakeholders on advanced data mining and technical matters, research, and applications.

  • Work collaboratively with his/her cross functional team to develop key questions, create and test prototypes, share findings and iterate to achieve valid and useful models.

  • Develop a myriad of communication materials, including but not limited to: reports, technical presentations to senior management and stakeholders, emails, web content, etc.

  • Develop and deliver data mining solutions.

  • Performing complex data mining tasks independently involving the application of proven data mining principles, practices, and techniques which require knowledge of workforce and related data domains.

  • Analyzes, evaluates, and integrates data mining solutions to diverse problem sets.

  • Advises all stakeholders on advanced data mining and technical matters, research, and applications.

Qualifications

Required:

  • Bachelor’s degree in a related field of study (e.g.: IO psychology, HRM, behavioral science, Economic)

  • Minimum3 years of experience in PowerBI developing data visualization tools that highlight the “story” in the data

  • Minimum 3 years of experience working directly with clients gathering input/stakeholder requirements and communication needs

  • 2 years of experience collecting both quantitative and qualitative data from internal or external sources, forming repositories and extracting datasets to be used for modeling.

  • 2 years experience with data cleaning, data normalization, data reduction, data aggregation, data augmentation, data sampling and other techniques to improve modeling outcomes.

    Preferred:

  • Experience with HR business understanding, asking business questions, determining requirements and appropriated data mining approaches.

  • Demonstrate experience developing advanced data visualizations, scripts and presenting in Power BI or other comparable tools.

  • Experience deploying models, deployment plans, monitoring and maintenance and documentation.

  • Experience explaining, presenting and translating data science outcomes in plain language.

  • Possess experience with successfully working with functional subject matter experts, IT developers, statisticians, and/or industrial/organizational psychologists in a cross matrixed and project-oriented setting.

  • Excellent verbal and written communication skills (including presentation skills)

  • Creative problem-solving ability and a consultancy mindset

  • Proactive approach to anticipate and meet client needs

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.

This role is available virtually for candidates in the Central and Eastern time zones. A strong preference will be given to candidates local to the Washington, DC area.

No sponsorship currently available for this position.

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

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

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