BlueLabs Analytics

HQ
Washington, District of Columbia, USA
100 Total Employees
Year Founded: 2013

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Benefits at BlueLabs Analytics

Financial + Retirement

401(K)

401(K) matching

Charitable contribution matching

Office Perks

Commuter benefits

Company-sponsored outings

Company-sponsored happy hours

Onsite gym

Pet friendly

Relocation assistance

Free snacks and drinks

Some meals provided

Health Insurance + Wellness

Dental insurance

Health insurance

Vision insurance

Mental health benefits

Culture

Volunteer in local community

Flexible work schedule

Open office floor plan

Remote work program

Team based strategic planning

OKR operational model

Child Care + Parental Leave

Family medical leave

Generous parental leave

Vacation + Time Off

Generous PTO

Paid volunteer time

Paid holidays

Paid sick days

Unlimited vacation policy

Professional Development

Job training & conferences

Promote from within

Lunch and learns

Continuing education available during work hours

Tuition reimbursement

Diversity

Mandated unconscious bias training

Hiring practices that promote diversity

19 Days Ago
Washington, DC, USA
Analytics • Consulting
The Director of Strategic Analytics will lead client analysis needs at BlueLabs, overseeing quantitative research projects and managing a team of analysts. Responsibilities include guiding analysis, ensuring quality control, and transforming data insights into actionable strategies. The role requires strong leadership, analytics expertise, and communication skills.
19 Days Ago
Remote
2 Locations
Analytics • Consulting
The Senior Analytics Manager II will lead quantitative research projects and provide strategic insights for commercial clients. This role involves managing a team of analysts, ensuring high-quality deliverables, assessing marketing experiments, and collaborating with internal teams to interpret and analyze data for actionable recommendations.
19 Days Ago
Remote
2 Locations
Analytics • Consulting
The Lead Data Scientist at BlueLabs will design and deliver analytics products, manage predictive modeling processes, lead a team, and ensure the quality of data and modeling results. The role requires collaboration across teams to troubleshoot and create solutions while meeting project deadlines.