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Senior Safety Database Administrator

posted by: spj_bot

Join Excelya, where Audacity, Care, and Energy define who we are and how we work. We believe in creating bold solutions and fostering an inclusive environment where collaboration and individual growth go hand in hand.

We are looking for a Senior Oracle Argus Safety Consultant to play a key role in maintaining, optimizing, and shaping the future of a global pharmacovigilance platform, while acting as a trusted partner to business, compliance, and technical stakeholders.

Key responsibilities :

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Lead Product Data Analyst

posted by: spj_bot

About LawnStarter

LawnStarter is the nation's leading on-demand marketplace for lawn care and outdoor services, with over $150M in annual bookings and two consecutive years of profitability. We're expanding beyond lawn care to become the one-stop shop for all home services, and we're investing in the next generation of our platform to get there.

About the Team

We're a high-leverage team of Product Data Analysts embedded across the business, owning the semantic layer and the metrics everyone trusts. We turn "I have a hunch" into "here's what actually happened," and we're the reason teams across the company can make calls on evidence instead of instinct. This role brings dedicated analytical firepower to the Pro (supply) side of that work.

Requirements

The Role

As a Lead Product Data Analyst, you'll directly impact our results through insights and reports. You'll work closely with product managers, researchers, and other business stakeholders, helping with prioritization, assessments, and business recommendations. Alongside the rest of the Analytics team, it's your responsibility to nurture the data-driven culture within the company, making data easier to consume, whether through interactive reports, easy-to-use datasets, documentation, or training.

Job Skills

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Lead Product Data Analyst

posted by: spj_bot

About LawnStarter

LawnStarter is the nation's leading on-demand marketplace for lawn care and outdoor services, with over $150M in annual bookings and two consecutive years of profitability. We're expanding beyond lawn care to become the one-stop shop for all home services, and we're investing in the next generation of our platform to get there.

About the Team

We're a high-leverage team of Product Data Analysts embedded across the business, owning the semantic layer and the metrics everyone trusts. We turn "I have a hunch" into "here's what actually happened," and we're the reason teams across the company can make calls on evidence instead of instinct. This role brings dedicated analytical firepower to the Pro (supply) side of that work.

Requirements

The Role

As a Lead Product Data Analyst, you'll directly impact our results through insights and reports. You'll work closely with product managers, researchers, and other business stakeholders, helping with prioritization, assessments, and business recommendations. Alongside the rest of the Analytics team, it's your responsibility to nurture the data-driven culture within the company, making data easier to consume, whether through interactive reports, easy-to-use datasets, documentation, or training.

Job Skills

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Analytics Engineering Manager, Data Platform & Governance

posted by: spj_bot

About LawnStarter

LawnStarter is the nation's leading on-demand marketplace for lawn care and outdoor services, with over $150M 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.

The Role

Job Skills

color numbers marketplace backlog 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 investment trustworthy guard lawn care manage map prioritizing governing plan com semantic sql funnels data quality airflow safe m data feeding applicable state anomaly detection source datum 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 govern accountable live migration tracking prioritization operating prioritized data security event tracking operate hygiene github mapping truth toolkit team leadership tooling tableau analytics debug layer mapped scale workflow triage
View the job post & apply

Analytics Engineering Manager, Data Platform & Governance

posted by: spj_bot

About LawnStarter

LawnStarter is the nation's leading on-demand marketplace for lawn care and outdoor services, with over $150M 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.

The Role

Job Skills

color numbers marketplace backlog 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 investment trustworthy guard lawn care manage map prioritizing governing plan com semantic sql funnels data quality airflow safe m data feeding applicable state anomaly detection source datum 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 govern accountable live migration tracking prioritization operating prioritized data security event tracking operate hygiene github mapping truth toolkit team leadership tooling tableau analytics debug layer mapped scale workflow triage
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Senior Consultant / Manager Analytics Consulting - Real Estate

posted by: spj_bot

Shape the Future of AI. Transform the World's Leading Businesses.

Tiger Analytics is one of the fastest-growing AI services firms, partnering with some of the world's largest and most influential organizations to redefine how business gets done. We help Fortune 500 companies harness the power of Artificial Intelligence, Generative AI, Data Science, Data Engineering and Advanced Analytics to solve their most complex challenges, unlock new growth opportunities, and create lasting business impact.

We are at the forefront of the AI revolution, helping enterprises move beyond traditional analytics to embrace Generative AI, agentic AI, intelligent automation, and cloud-native data platforms. A global presence across North America, Latin America, Europe, and India

At Tiger Analytics, we don't just help businesses adapt to the future—we help them build it.

We are looking for a strong analytical and business focused Consultant to bridge the gap between strategic business decision-making and advanced technical execution. In this role, you will partner directly with stakeholders to structure ambiguous business challenges, frame analytical hypotheses, and drive data-driven strategies. The ideal candidate brings a powerful combination of strategy consulting, enterprise analytics, and hands-on AI prototyping capabilities.

What you will be doing

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Azure Data Engineer

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 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.

The Azure Data Engineer will be responsible for designing, and implementing advanced analytics capabilities.

Requirements

Job Skills

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Lead Data Analyst, Growth & Experimentation

posted by: spj_bot

About LawnStarter

LawnStarter is the nation's leading on-demand marketplace for lawn care and outdoor services, with over $150M in annual bookings. We're expanding beyond lawn care into the one-stop shop for all home services. Getting there depends on how fast we can test, learn, and scale what works.

About the Data Team

We're a high-leverage team of Product Data Analysts embedded across the business, owning the semantic layer and the metrics everyone trusts. The experimentation program runs on real rigor, not vibes: pre-registered analysis plans gate every test launch, anytime-valid statistics keep mid-run dashboards honest under continuous viewing, automated daily SRM and attribution health sweeps catch broken tests early, and seasonal power forecasting accounts for a business that swings hard by time of year. The test lifecycle, design through readout, is already AI-driven. Our analysts are stretched across product, so Growth support has stayed part-time and reactive, until now.

The Role

Job Skills

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Scientific Data Manager - Données biologiques & Data Quality

posted by: spj_bot

Join Excelya, where Audacity, Care and Energy define who we are and how we work.

We are looking for a Scientific Data Manager to support biological reference data management activities within a leading pharmaceutical R&D environment. You will work at the interface between Data Management, Translational Medicine, Scientific Experts, and IT teams to ensure the quality, integrity, and consistency of biological substance data across multiple systems.

Key Responsibilities

  • Manage and support biological reference data activities across interconnected scientific systems.
  • Collect business requirements and challenge use cases to improve data quality and business processes.
  • Define and maintain data integrity and data quality rules.
  • Write functional specifications and execute validation testing activities.
  • Prepare test plans, test evidence, and validation documentation using Jira/Xray.
  • Support Agile teams in implementing and validating new system functionalities.
  • Produce user guides, training materials, and business rule documentation in English and French.
  • Review and validate data consistency scripts developed in Python or C#.
  • Support project and run activities related to biological reference data management.
  • Coordinate outsourced operational activities related to data management services.

Requirements

Job Skills

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Sr. Manager/Associate Director - Commercial Analytics (Pharma/Lifesciences)

posted by: spj_bot

About Tiger Analytics: Shape the Future of AI. Transform the World's Leading Businesses.

Tiger Analytics is one of the fastest-growing AI services firms, partnering with some of the world's largest and most influential organizations to redefine how business gets done. We help Fortune 500 companies harness the power of Artificial Intelligence, Generative AI, Data Science, Data Engineering and Advanced Analytics to solve their most complex challenges, unlock new growth opportunities, and create lasting business impact.

We are at the forefront of the AI revolution, helping enterprises move beyond traditional analytics to embrace Generative AI, agentic AI, intelligent automation, and cloud-native data platforms. A global presence across North America, Latin America, Europe, and India.

At Tiger Analytics, we don't just help businesses adapt to the future—we help them build it.

We are looking for someone with a good blend of business consulting skills and a data analytics background. If you are passionate to work on unstructured business problems that can be solved using data, we would like to talk to you.

RESPONSIBILITIES:

Job Skills

color komodo professional datasets automation life science data data brand market access project management data business analytic continuous business artificial intelligence adapt power bi data platforms quality control invests management upskilling landscape sql dataset emerge technology cloud native validating management communicating latin portfolios managing translate term life insurance business transformation tableau data engineering visualization unlock career development team management long term analytic presentations python data analysis collaborate life insurance best practices develop plans analytics innovation investigate adoption data science data sources managing revenue consulting accounts disability manage large account solution design account management tracking scale account growth account managing added MBA CRM pe retirement accounts high level
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