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Sr. Manager/ Associate Director - Pharma SME

posted by: spj_bot

Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner.

We are seeking a senior Pharmaceutical Data & Analytics SME to support the Cystic Fibrosis Sales & Performance team. This role will serve as the functional expert across commercial data, Snowflake/lakehouse assets, reporting, and analytics while partnering closely with business and technology teams. The position will evolve into leading a dedicated analytics support pod

RESPONSIBILITIES:

  • Act as the SME for Cystic Fibrosis commercial data, sales performance, and reporting.
  • Partner with business stakeholders to define data requirements, KPIs, and reporting solutions.
  • Support data validation, reconciliation, business rules, data quality, and metric definitions.
  • Collaborate with data engineering teams on Snowflake/lakehouse architecture and reporting-ready data products.
  • Guide offshore teams and help establish governance, documentation, and delivery processes for the future analytics pod.

Requirements

Job Skills

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Gen AI Engineer

posted by: spj_bot

Tiger Analytics is a global leader in AI and analytics, helping Fortune 1000 companies solve their toughest challenges. We offer full-stack AI and analytics services & solutions to empower businesses to achieve real outcomes and value at scale. We are on a mission to push the boundaries of what AI and analytics can do to help enterprises navigate uncertainty and move forward decisively. Our purpose is to provide certainty to shape a better tomorrow.

Our team of 4000+ technologists and consultants are based in the US, Canada, the UK, India, Singapore, and Australia, working closely with clients across CPG, Retail, Insurance, BFS, Manufacturing, Life Sciences, and Healthcare. We are a Great Place to Work-Certified™ company, recognized by analyst firms such as Forrester, Gartner, HFS, Everest, ISG, and others.We are looking for a highly skilled  AI Engineer with 7+ years of experience in software engineering, with a heavy focus on Python, AWS infrastructure, and Generative AI. The ideal candidate will be responsible for building high-performance API services and implementing complex RAG and Agentic AI architectures.

Requirements

Key Requirements:

Job Skills

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Lead Power BI Developer

posted by: spj_bot

Tiger Analytics is a fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best analytics global consulting team in the world.

The Power BI Developer will lead the design, strategy, and governance of the enterprise BI platform using Microsoft Power BI. This role involves assessing infrastructure requirements, defining best practices, guiding BI Engineers, enabling security, handling large data, and ensuring scalable, high-performing BI solutions that align with business needs.

Key Requirements:

Job Skills

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Data Governance & Platform Manager

posted by: spj_bot

About LawnStarter

LawnStarter is the nation's leading on-demand marketplace for lawn care and outdoor services, with over $100M in annual bookings. We're expanding beyond lawn care to become the one-stop shop for all home services - operating across three brands (LawnStarter, Lawn Love, Home Gnome) on a single shared platform.

About Analytics at LawnStarter

We're a small, senior analytics team supporting the entire company - product, marketing, operations, and finance all run on the data we serve. The foundation is solid: a centralized Redshift data warehouse where all source data lands, modeled in dbt and orchestrated by Airflow, with Segment feeding event data in. You won't be stitching scattered sources together - the platform exists; your job is to make it trustworthy and keep it that way. We're mid-migration to Lightdash as our single BI platform, replacing Tableau and Metabase.

Here's the honest gap: everyone on the team today is an analyst. Data quality, tracking standards, and platform hygiene get done as side work, squeezed between analyses. Nobody wakes up thinking about them - which is exactly the job we're hiring for.

Job Skills

color numbers people management marketplace data pipeline dashboards governance data platform data system manager job description finance redshift event data genetics data governance disability source naming convention dashboard source data guard trustworthy manage lawn care map equity operator governing plan com semantic funnels sql data quality airflow safe m data feeding applicable state anomaly detection automated governed product marketing documented processes gnome machine learning breakage marketing operation writing data warehouse checklist automation access control privacy law write blob collaboration legible build automation impact assessment fix makes decisions govern live migration tracking operating data security event tracking hygiene github mapping truth toolkit tooling tableau analytics debug layer mapped scale workflow triage execute
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Senior Data Scientist - Advanced GenAI & Agentic Systems

posted by: spj_bot

Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world.

We are seeking a Senior Data Scientist – GenAI & Agentic Systems to join our advanced analytics team supporting leading Investment, Banking, and Financial Services (BFS) clients. In this role, you will design, develop, and deploy state-of-the-art Generative AI and multi-agent solutions that drive critical business decisions across asset management, wealth management, and contact center operations..

Responsibilities:

Job Skills

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Tableau Advisor

posted by: spj_bot

Tiger Analytics is a fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best analytics global consulting team in the world.

We are seeking a highly skilled Tableau Subject Matter Expert (SME) to lead our data visualization strategy. You will design, develop, and optimize complex, high-performance Tableau dashboards. As the SME, you will establish best practices, govern server architecture, and mentor internal teams to foster a data-driven culture.

Requirements

Key Responsibilities

Job Skills

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Data Architect

posted by: spj_bot

Tiger Analytics is pioneering what AI and analytics can do to solve some of the toughest problems faced by organizations globally. We develop bespoke solutions powered by data and technology for several Fortune 100 companies. We have offices in multiple cities across the US, UK, India, and Singapore, and a substantial remote global workforce.

If you are passionate about leading large-scale cloud and data modernization initiatives that transform enterprise platforms, we would love to hear from you. We are seeking an experienced and dynamic professional to play a key role in assessing, planning, and driving enterprise migration programs across data, applications, and cloud platforms. This role will help clients modernize their technology landscape, optimize legacy systems, and enable scalable, cloud-native architectures aligned with business goals. The Data Architect will support enterprise data initiatives by designing and delivering scalable, modern data architecture solutions with a primary focus on canonical data modeling, semantic data mesh, and real‑time streaming architectures using Kafka. This role drives alignment across business domains and enables high‑quality, governed, and interoperable data for analytics and operational use cases.

Responsibilities:

Job Skills

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Sr. Manager/ Associate Director - Analytics Consulting (Banking)

posted by: spj_bot

Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner.

We are looking for someone with a good blend of business consulting skills and a data analytics background to add to our team. Partner directly with the VP of Enterprise Analytics of our client to evaluate performance across our insurance, banking, and wealth management business lines. You will design forward-looking, non-traditional KPIs and recommend the enterprise-wide aggregation frameworks required to unify firm-level strategic decision-making.

Responsibilities:

Job Skills

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Ontology Architect

posted by: spj_bot

Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner.

We are looking for an Ontology Architect to lead high-impact applied Engineering and analytics initiatives. This role combines deep technical expertise, strong experimentation rigor, and business leadership to influence product direction and drive measurable outcomes at scale.

Responsibilities:

Job Skills

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Full Stack AI Engineer

posted by: spj_bot

Location: Remote - If based in NYC, will require office presence 2/3 days a week, for LATAM and European regions will be expected to work EST hours with a 5 hour overlap.

Remote/Hybrid | Full-time

Compensation: $140K - $200K

We are hiring on behalf of our client, an innovative technology firm who is seeking an experienced Full-Stack AI Engineer to join a growing, AI-focused engineering team. The client develops advanced intelligence and analytics solutions designed to help participants in digital asset markets make more informed decisions by combining financial data, automation, and modern AI technologies to transform complex information into actionable insights.

In this role, the successful candidate will work closely with product, research, and engineering leadership to develop next-generation, AI-powered financial applications. This is a highly collaborative position that requires strong ownership, technical depth, and the ability to move quickly from concept to production.

Key Responsibilities

Full-Stack Product Development

Job Skills

web platform operationalization professional datasets real time system reliability automation javascript embedding decision make security policy performance tuning system design data integration operate research scalable advanced search semantic communication node js maintainability financial datum emerge technology backend developing applications workflow systems cross functional collaboration high performance latin information retrieval financial technology interactive architectures model work environment python finance user interface collaborate software engineering managed securely search technology best practices digital asset analytics workflows programming machine learn system performance friendly automated market datum profiling innovative language model data sources scalability real time financial service design tool collaborative infrastructure solution design react typescript applicable data e integrate design systems data pipelines operating relational database product development agent architecture manage track
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