Benchmark Analytics Jobs in Usa

How you move is why we're here. Now more than ever.

Get back to what you need and love to do. The possibilities are endless... Now more than ever, our guiding principles are helping us in our search for exceptional talent - candidates who align with our unique workplace culture and who want to maximize the abundant opportunities for growth and success. If this describes you then let's talk! HSS is consistently among the top-ranked hospitals for orthopedics and rheumatology by U.S. News & World Report. As a recipient of the Magnet Award for Nursing Excellence, HSS was the first hospital in New York City to receive the distinguished designation. Whether you are early in your career or an expert in your field, you will find HSS an innovative, supportive and inclusive environment.

Working with colleagues who love what they do and are deeply committed to our Mission, you too can be part of our transformation across the enterprise.

Emp Status: Regular Full Time

Work Shift: Day (United States of America)

Compensation Range: $128,500.00 - $196,375.00. In addition, this position will be eligible for additional benefits consistent with the role. The salary of the finalist selected for this role will be determined based on various factors, including but not limited to: scope of role, level of experience, education, accomplishments, internal equity, budget, and subject to Fair Market Value evaluation. The hiring range listed is a good faith determination of potential compensation at the time of this job advertisement and may be modified in the future.

The Hospital for Special Surgery Data & Analytics team is seeking a Director with a dedicated focus on supporting the Payer Strategy & Contracting function. In this role, you will report into the Data & Analytics team while serving as the primary data partner to leaders and team members in Payer Strategy. You will be responsible for translating business priorities into data-driven solutions, serving as a subject matter expert, driving automation, and delivering reporting, analytics, and insights that enable payer strategy and contracting initiatives and negotiations.

• Work closely with the Contracting team to provide analytical support for all contracting efforts, including payer contracting, bundled payment contracting, pay-for-performance contracting, and other emerging reimbursement methodologies.
• Create and maintain models and data products to evaluate the financial success and impact of new contracts, opportunities, and policy changes, building automated processes that can be reused and scaled across multiple contracts and scenarios.
• Partner with the Payer Strategy & Contracting team to drive automation design and manage automated reporting solutions, transitioning existing manual processes into scalable, repeatable workflows within the enterprise data lakehouse.
• Collaborate across the Data & Analytics team to align payer strategy data needs with the broader enterprise data strategy.
• Serve as a subject matter expert in payer strategy analytics, acting as the primary liaison between the Payer Strategy & Contracting team and the Data & Analytics organization.
• Mentor junior analysts, building technical and analytical capabilities while fostering knowledge of payer strategy and contracting.

• Bachelors degree in Data Science, Finance, Economics, Health Administration, or related field (Masters preferred).
• 7+ years Provider/Payer contracting experience.
• Strong understanding of payer contracting concepts, reimbursement methodologies, and healthcare financial drivers.
• Advanced experience with APR-DRG, MS-DRG, Ambulatory Surgery Center groupers, APC, APG, and RBRVS reimbursement methodologies.
• Proficiency in SQL and experience working with enterprise data platforms.
• Demonstrated ability to automate reporting and analytic workflows.
• Knowledge of hospital operations, health/insurance benefit plans, revenue cycle claims systems and complex reimbursement methodologies.
• Proven track record of developing models to evaluate financial impact of contracts, policy changes, or new opportunities.
• Strong communication skills with the ability to translate complex analytics into clear, actionable insights for non-technical stakeholders.
• Experience mentoring or managing analysts, with a focus on developing both technical and business acumen.
• Comfort working cross-functionally particularly with finance, contracting, and technical data teams.

Hospital for Special Surgery is the world's leading academic medical center focused on musculoskeletal care. You will sit at the nexus of data science, clinical excellence, and strategic innovationhelping shape initiatives that improve patient outcomes on a global scale, all within a collaborative, flexible, and inclusive work environment.

Non-Discrimination Policy: Hospital for Special Surgery is committed to providing high quality care and skilled, compassionate, reliable service to our community in a safe and healing environment. Consistent with this commitment, Hospital for Special Surgery provides care, admits, and treats patients and provides all services without regard to age, race, color, creed, ethnicity, religion, national origin, culture, language, physical or mental disability, socioeconomic status, veteran or military status, marital status, sex, sexual orientation, gender identity or expression, or any other basis prohibited by federal, state, or local law or by accreditation standards.

Are you obsessed with turning marketplace data into clear, confident decisions? This is a high-impact opportunity to own retail media and marketplace analytics across major platforms including Amazon, Walmart, and Target. You’ll sit at the center of strategy, partnering with media, content, and external agencies to connect paid and organic performance to real commercial outcomes.

In this role, you will build decision-ready reporting, diagnose performance drivers, and define the test-and-learn agenda that improves ROAS, TACOS, conversion rates, and profitability across thousands of SKUs. You’ll report into the digital strategy leadership team and be the go-to expert for marketplace analytics and insight generation.

What You’ll Do:

• Build and maintain weekly dashboards that track ROAS, TACOS/ACOS, CVR, new-to-brand share of voice, contribution margins, and other key marketplace KPIs by category and SKU.
• Create SKU/ASIN-level scorecards that connect ad spend, organic rank, PDP health, and inventory to commercial results, clearly flagging where to scale, hold, or pull back.
• Define guardrail metrics and early warning signals to quickly detect performance issues and drive corrective actions with cross-functional partners.
• Design and run structured test-and-learn programs, including holdouts, pre/post, and incrementality analyses using tools such as Amazon Marketing Cloud and Walmart Scintilla.
• Measure the impact of PDP content elements — titles, bullets, A+ content, imagery, video, and variation strategies — on search rank and conversion, and prioritize content updates by ROI.
• Deliver merchandising and purchase order insights through velocity, seasonality, price elasticity, and attachment analyses to guide assortment and inventory decisions.
• Own and optimize the marketplace analytics stack, leveraging platforms like Amazon Brand Analytics, Walmart Luminate, Helium 10, Jungle Scout, DataHawk, and BI tools.
• Partner closely with agencies to harmonize reporting, define SLAs, and ensure consistent, actionable performance metrics across channels.

What You Bring:

• 5–7+ years in marketplace or retail media analytics, with deep experience in Amazon and exposure to Walmart and Target ecosystems.
• Proven track record transforming complex marketplace data into clear, actionable recommendations at scale across large SKU counts.
• Hands-on expertise with Amazon Brand Analytics, Amazon Marketing Cloud, Walmart Luminate/Scintilla, and marketplace research tools such as Helium 10, Jungle Scout, and DataHawk.
• Advanced proficiency in Excel and business intelligence/reporting platforms.
• Experience designing and interpreting rigorous tests and incrementality frameworks, and converting findings into practical playbooks.
• Exceptional communication skills, including the ability to synthesize complex insights into succinct, executive-ready narratives.
• Bachelor’s degree in Analytics, Business, Marketing, or a related quantitative or commercial field.

Bonus Points For:

• Background in retail pricing, packaging, and assortment analytics.
• Familiarity with SQL and experience defining agency reporting standards and SLAs.
• Knowledge of PIM/DAM systems and content health scoring methodologies.

If you thrive at the intersection of data, media, and merchandising and want to shape the growth strategy for major marketplaces, we’d love to hear from you.

Staff Data Scientist – Sales Analytics

Location: San Francisco (Hybrid)

Salary: $200–250k base + RSUs

This fast-growing Series E AI SaaS company is redefining how modern engineering teams build and deploy applications. We’re looking for a Staff Data Scientist to drive Sales and Go-to-Market (GTM) analytics, applying advanced modeling and experimentation to accelerate revenue growth and optimize the full sales funnel.

About the Role

As the senior data scientist supporting Sales and GTM, you will combine statistical modeling, experimentation, and advanced analytics to inform strategy and guide decision-making across our revenue organization. Your work will help leadership understand pipeline health, predict outcomes, and identify the levers that unlock sustainable growth.

Key Responsibilities

• Model the Business: Build forecasting and propensity models for pipeline generation, conversion rates, and revenue projections.
• Optimize the Sales Funnel: Analyze lead scoring, opportunity progression, and deal velocity to recommend improvements in acquisition, qualification, and close rates.
• Experimentation & Causal Analysis: Design and evaluate experiments (A/B tests, uplift modeling) to measure the impact of pricing, incentives, and campaign initiatives.
• Advanced Analytics for GTM: Apply machine learning and statistical techniques to segment accounts, predict churn/expansion, and identify high-value prospects.
• Cross-Functional Partnership: Work closely with Sales, Marketing, RevOps, and Product to influence GTM strategy and ensure data-driven decisions.
• Data Infrastructure Collaboration: Partner with Analytics Engineering to define data requirements, ensure data quality, and enable self-serve reporting.
• Strategic Insights: Present findings to executive leadership, translating complex analyses into actionable recommendations.

About You

• Experience: 6+ years in data science or advanced analytics roles, with significant time spent in B2B SaaS or developer tools environments.
• Technical Depth: Expert in SQL and proficient in Python or R for statistical modeling, forecasting, and machine learning.
• Domain Knowledge: Strong understanding of sales analytics, revenue operations, and product-led growth (PLG) motions.
• Analytical Rigor: Skilled in experimentation design, causal inference, and building predictive models that influence GTM strategy.
• Communication: Exceptional ability to tell a clear story with data and influence senior stakeholders across technical and business teams.
• Business Impact: Proven record of driving measurable improvements in pipeline efficiency, conversion rates, or revenue outcomes.

• Degree in Chemistry, Biochemistry, Immunology, Biology, or a related field.
• Master’s with 2+ years of experience or BS with 4+ years of experience.
• Strong understanding of analytical method development, including molecular and cell based assays.
• Demonstrated ability to design, execute, and analyze experiments with excellent communication and problem solving skills.
  
  

• Develop and optimize analytical methods for in process testing, product release, and product characterization, including qPCR, ddPCR, ELISA, and ELISpot.
• Lead method development, qualification, validation, and tech transfer activities with CDMOs and external QC partners.
• Troubleshoot analytical challenges and ensure accurate documentation in electronic lab notebooks.
• Collaborate with CMC leadership on regulatory submissions and represent Analytical Development in internal and external project meetings.
  
  

Role: Senior Product Owner – Pharma Commercial Analytics

Location: South San Francisco, CA

Role Summary:

We are seeking a seasoned Product Owner to lead the vision, strategy, and execution of our Commercial Analytics portfolio. You will be the bridge between our Sales/Marketing business units and the Data Science/Engineering teams. Your goal is to transform raw commercial data into actionable insights that drive sales force effectiveness, optimize marketing spend, and improve Healthcare Professional (HCP) engagement.

Worked on Sales and Marketing side...like created sales and marketing a document; created or worked on market strategy, worked on pricing starategy and market research...

Done any utilization analytics.

Key Responsibilities:

1. Product Vision & Backlog Management

• Define the roadmap for commercial data products, sales dashboards, and predictive analytics models.
• Translate complex business requirements from Marketing and Sales leaders into technical user stories for the engineering team.
• Prioritize the product backlog based on business value, ROI, and commercial impact.

2. Pharma Commercial Domain Leadership

• Oversee the integration of industry-standard data sources (e.g., IQVIA, Symphony, Veeva CRM, Specialty Pharmacy feeds).
• Optimize analytics for Sales Force Effectiveness (SFE), including territory alignment, incentive compensation, and call planning.
• Drive the data strategy for Omnichannel Marketing, ensuring seamless tracking of HCP touchpoints across digital, email, and face-to-face channels.

3. Data & Analytics Program Oversight

• Lead the delivery of advanced analytics programs, such as Next Best Action (NBA) engines, patient journey mapping, and marketing mix modeling (MMM).
• Ensure data integrity and compliance with healthcare regulations (e.g., HIPAA, GDPR, Sunshine Act).
• Collaborate with Data Architects to ensure the commercial data lake/warehouse is scalable and supports real-time reporting.

Required Qualifications

• Experience: 5–8+ years of Product Owner or Product Management experience, specifically within the Life Sciences or Pharmaceutical sector.
• Domain Expertise: Deep understanding of the Pharma Commercial lifecycle (Market Access, Brand Management, Field Sales, and Patient Services).
• Technical Literacy: Proven experience running data-heavy programs. Familiarity with SQL, Snowflake/AWS data environments, and visualization tools (Tableau/Power BI).
• CRM Knowledge: Hands-on experience with Veeva CRM or Salesforce Health Cloud.
• Education: Bachelor's degree in business, Data Science, or a related field (MBA or MS in Analytics preferred).

About the Job:

The Applied Analytics Analyst serves as the technical anchor of the Strategic Resource Group. This role is responsible for translating complex business and market questions into structured, executable data outputs using Trilliant Health’s proprietary claims, provider directory, and price transparency datasets.

The Applied Analytics Analyst owns feasibility validation, analytical methodology design, and data integrity across research initiatives and pre-sales support. This individual combines strong technical proficiency with healthcare domain expertise and plays a critical role in standardizing how recurring strategic questions are answered across the organization.

You are our ideal candidate if you:

• Design and execute complex SQL queries and data builds from Trilliant’s data warehouse
• Capture and maintain documentation outlining how and why analytical frameworks are applied to support consistency and institutional knowledge retention
• Validate data integrity and identify gaps, missingness, structural limitations, or edge cases
• Own technical feasibility assessments for research and pre-sales opportunities
• Develop repeatable analytical frameworks for common strategic use cases
• Support research initiatives through structured dataset construction and methodological validation
• Create reusable datasets, templates, and documentation to reduce institutional knowledge concentration
• Maintain high standards of quality control and analytical rigor across all deliverables
• Interface effectively with Sales, SRG, Research, Product, and Data Engineering teams
• Respond to ambiguity with structured problem solving and professional judgment

Technical Skills:

• Advanced proficiency in SQL and experience querying large data warehouses
• Experience working in Databricks or similar environments preferred
• Strong proficiency in Excel and PowerPoint
• Familiarity with Tableau or other BI tools
• Experience working with complex healthcare claims datasets required

Other Skills:

• Strong analytical and critical thinking skills
• Ability to synthesize large datasets into structured outputs
• Excellent documentation and organizational skills
• Strong written and verbal communication skills
• Ability to work independently with minimal supervision
• High attention to detail and commitment to data quality

Position Location:

This position is onsite in Brentwood, TN

*We are unable to provide visa sponsorships for this role.

About Trilliant Health:

Trilliant Health is a high-growth, healthcare technology company. We are on a mission to be the most trusted advisor, dependable partner and provider of analytic insights to key stakeholders in the health economy enabling them to maximize return on invested capital. We do that by providing education and expertise through thought leadership, evidence-based strategy, and predictive analytics. We are looking to grow our team as we strive to influence positive change in healthcare by disrupting the status quo and promoting improved decision-making.

Vaxess is developing a pipeline of next-generation therapeutics on our novel micro-array patch platform. With only five minutes of wear-time on the skin, the Vaxess’ patch combines room temperature stability with simplified application to dramatically alter the way that drugs are delivered. Vaxess is committed to enabling products that are not only more effective, but also more accessible to patients around the world.

The Role

We are seeking a talented, collaborative, and highly motivated individual with expertise analytical methods highly focused on HPLC and QC operations to join our core team of scientists and engineers. The Senior Scientist will execute Quality Control testing, and associated operations and contribute to analytical testing to ensure compliance with cGMP requirements. This is a unique opportunity to be part of an emerging early-phase clinical company bringing innovative technology to the global market.

Key Responsibilities

• Lead the design, development, optimization, and execution of HPLC-based analytical methods (e.g., RP-HPLC, SEC, IEX) to support in-process, release, and stability testing.
• Develop, qualify, validate, and characterize GMP-compliant purity, SEC, and content methods for intermediates and drug products, with a strong emphasis on chromatographic workflows.
• Author and execute cGMP method qualification and validation protocols, prepare reports, and perform/oversee routine QC testing.
• Serve as Subject Matter Expert for chromatography methods during investigations of deviations, OOS/OOT events, assay failures, and other non-conformance issues.
• Provide technical leadership in HPLC troubleshooting, instrument maintenance coordination, data integrity practices, and chromatographic data review.
• Independently author method SOPs, analytical protocols, technical reports, and contribute to regulatory submissions.
• Maintain rigorous laboratory documentation and complete, audit-ready analytical records.
• Collaborate effectively with QC, Manufacturing, Process Development, and Regulatory teams to enable program success across phases.
• Thrive in a fast-paced, cross-functional environment with excellent communication and organizational skills.

Qualifications

• Ph.D. in Analytical Chemistry, Biochemistry, or related field with a minimum of 4 years (10 years for Senior Scientist) in the biotech/pharmaceutical industry; or M.S. with commensurate experience.
• Demonstrated in-depth expertise in HPLC, including method development, troubleshooting, system suitability design, chromatographic theory, and data interpretation.
• Hands-on experience with multiple chromatographic techniques (RP-HPLC, SEC, IEX, affinity, gradient optimization, detector setup/maintenance).
• Proven success developing and validating GMP analytical methods and supporting GMP operations.
• Experience with complementary analytical techniques such as UV-Vis, LC-MS, CE, ELISA, or other functional assays is beneficial.
• Experience working in a QC or cGMP laboratory environment with strong understanding of data integrity requirements (ALCOA+).
• Strong organizational skills, precision in documentation, and ability to manage multiple analytical workflows simultaneously.
• Excellent oral and written communication skills.
• Commitment to collaborative work within interdisciplinary project teams.

At Vaxess, we’re bringing together exceptional talent to drive our product development forward. We value collaboration, curiosity, and a dynamic work environment. To apply, please submit your CV/resume to .

Job Summary:

Our client is seeking a Senior Data Analytics Engineer (Customer Data) to join their team! This position is located in Irving, Texas.

Duties:

• Support cross-functional teams including Marketing, Data Science, Product, and Digital
• Build datasets that power: customer segmentation, personalization workflows, campaign and lifecycle analytics, BI dashboards and KPIs and real-time and ML-driven customer experiences
• Build, optimize, and maintain customer data pipelines using PySpark/Databricks
• Transform raw customer data into analytics‑ready datasets for reporting, segmentation, personalization, and AI/ML applications
• Develop customer behavior metrics, campaign insights, and lifecycle reporting layers
• Design datasets used by Power BI/Tableau; dashboard creation is a plus, not required
• Optimize Databricks performance such as: skewed joins, partitioning, sorting, caching/persist strategy
• Work across AWS/Azure/GCP and integrate pipelines with CDPs
• Participate in ingestion and digestion phases to shape MarTech and BI analytical layers
• Document and uphold data engineering standards, governance, and best practices across teams

Desired Skills/Experience:

• 6+ years in Data Engineering or Analytics Engineering
• Strong hands-on experience with: Databricks, PySpark, Python and SQL
• Proven experience with customer/marketing data: segmentation, personalization, campaign analytics, retention, behavioral metrics
• Ability to design performance‑optimized pipelines; batch or near real-time
• Experience building datasets consumed by Power BI/Tableau
• Understanding of CDP workflows, customer identity data, traits/feature modeling, and activation
• Strong communication skills, translating marketing needs into technical data solutions
• Power BI expertise, major plus
• Experience with Delta Lake, orchestration, or feature engineering for ML
• Background as an Analytics Engineer, BI/Data Modeling Engineer, or Data Engineer with strong analytics orientation

Benefits:

• Medical, Dental, & Vision Insurance Plans
• Employee-Owned Profit Sharing (ESOP)
• 401K offered

The approximate pay range for this position starting at $140,000. Please note that the pay range provided is a good faith estimate. Final compensation may vary based on factors including but not limited to background, knowledge, skills, and location. We comply with local wage minimums.

At KellyMitchell, our culture is world class. We’re movers and shakers! We don’t mind a bit of friendly competition, and we reward hard work with unlimited potential for growth. This is an exciting opportunity to join a company known for innovative solutions and unsurpassed customer service. We're passionate about helping companies solve their biggest IT staffing & project solutions challenges. As an employee-owned, women-led organization serving Fortune 500 companies nationwide, we deliver expert service at a moment's notice.

By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from KellyMitchell and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy at

Job Title: Adobe Analytics Specialist

Position Type: Contract-to-Hire, 12 Month W2 Contract with possibility of switching to full time after this period, or Full Time from the start will be considered for the right candidate.

Location: 4 Days on site per week in Milwaukee, Wisconsin and 1 day from home

Salary: $120-$140k DOE

*US Citizen or Green Card holder only*

Our client, a Machinery Manufacturing company, is seeking a skilled Adobe Analytics Specialist to join their growing team. You will be responsible for the leadership and technical direction across the enterprise Adobe Analytics, Adobe Experience Platform and Adobe Target ecosystem.

Job Description:

• Adobe Analytics implementation & Dashboard creation and reporting
• Define enterprise measurement standards across digital properties
• Guide AEP schema structure and dataset governance
• Validate identity resolution and profile stitching
• Lead experimentation configuration in Target
• Develop executive and operational dashboards
• Tagging and data layer standards validation
• Oversee ingestion validation and dataset stability

Qualifications:

• Bachelor’s degree in Analytics, Information Systems, Computer Science, Marketing ,or related field
• 5+ Years enterprise analytics or digital measurement experience
• Hands-on Adobe Analytics expertise, with AEP and Target highly desirable
• Experience guiding measurement architecture at scale
• Advanced dashboard development
• Strong data layer and event architecture knowledge
• Structured QA and governance discipline

About Hirobe Limited:

Expert recruitment, powered by a deep understanding of the Adobe Experience Cloud. Since 2018, we've been connecting the best Adobe professionals with leading organizations, giving us a unique insight into both the technology and the talent. What truly sets us apart is our specialized market knowledge, tailored service, and unwavering commitment to finding the ideal fit for everyone involved.

Data Analytics Internship 

Los Angeles, CA, USA (Hybrid role) 

Part-Time, $17.87/hr, Mid-April 2026 to Mid-August 2026.  

DailyLook, a subsidiary of Victoria’s Secret & Co. (NYSE: VSCO) since being acquired in December 2022, is seeking a Data Analytics Intern. This internship offers the opportunity to work across 2 key teams at Dailylook: Demand Planning and Data Growth. The intern will be at the core of the business, leveraging data and analytics to support strategic initiatives and help drive data-informed improvements across operations, inventory planning, and growth initiatives. This is a great chance to gain hands-on experience working with real business data while contributing to impactful decisions! 

Qualifications for the Position 

1. A degree in (or a junior, senior or graduate student pursing a degree in): data science, statistics, computer science, economics (quantitative track), applied analytics, mathematics or business analytics. 
2. GPA 3.3+ preferred 
3. Coursework or experience in: Statisical analysis, data analytics, machine learning. 
4. Experience with database systems, SQL and Python 
5. Familiarity with BI tools such as Looker or Tableau. 
6. Exemplary interpersonal communication skills both verbal and written 
7. Highly motivated, collaborative 
8. Experience in a Startup or Retail industry is an extra plus! 
9. An intellectually curious team player with a no-compromises approach to work quality, attention to detail, organization, and the ability to manage multiple priorities and projects in a fast-paced environment 
10. Self-motivated, detail-oriented, hands-on go-getter with the ability to build and suggest overhaul processes where needed, take initiative, work independently and proactively, multi-task, and remain flexible with changing priorities 
11. “I’ll find a way!” mindset where you can leverage your autonomy within your role to think outside the box.
12. Demonstrated ability to communicate and collaborate effectively across global teams by adapting to diverse cultural norms, respecting time zone differences, and leveraging digital collaboration tools to maintain alignment and productivity  
13. Skilled in building trust and fostering inclusive communication styles that support clarity, empathy, and shared goals in international work environments 
14. Ability and willingness to work on-site at our office in Downtown LA at least once a week.  

Responsibilities 

1. Reports to the Planning Team.  
2. Maintain and migrate existing demand planning and inventory reports to the current BI tool. 
3. Build and update weekly and monthly dashboards covering product performance, box performance, and styling metrics 
4. Assist in developing demand planning assumptions and forecasting frameworks (style demand, size curves, inventory flow) 
5. Build basic planning tools in Google Sheets / BI tools to support: Size curve projections & Product lifecycle tracking 
6. Conduct assortment and scenario analysis to support predictive demand planning 
7. Analyze inventory health, sell-through trends, and replenishment opportunities 
8. Identify optimization opportunities within the current planning workflow and BI infrastructure 
9. Document demand planning processes and support improvements to internal planning tools. 
10. Support the team in analyzing marketing and subscription performance, including acquisition, traffic/funnel, CRM, engagement, etc.  
11. Support migration and setup of analytics tools and platforms to improve tracking of user behavior and marketing performance 
12. Assist with dashboard updates, reporting, and basic data checks to ensure data quality 
13. Help monitor A/B tests and experiments for CRM campaigns and website initiatives 
14. Conduct ad-hoc analyses to provide insights and recommendations for the team 
15. Document data workflows & the new data infrastructure. 

Compensation & Benefits 

The pay for this position is $17.87 an hour. This is a non-exempt, part-time position.  

DailyLook is proud to provide equal opportunity to all employees and qualified applicants without regard to race, color, religion, national origin or citizenship, age, sex, marital status, ancestry, legally protected physical or mental disability, veteran status, gender identity, sexual orientation or any other basis protected under applicable law. 

By applying for this position, the applicant authorizes DailyLook to check all references list on your application and/or resume.