Analytics services Job at Adswerve, Inc.

Analytics services

This is a talent community application for the Analytics Services team at Adswer...

Location

United States

Salary:

Not provided

Adswerve, Inc.

Expiration Date

Until further notice

Requirements

Experience using and implementing Google Analytics
Experience using and implementing Google Tag Manager
Experience using and implementing Adobe Analytics
Experience using and implementing Adobe Launch
Experience using and implementing Adobe Target

Job Responsibility

Collaborating with others to create solutions to challenges using data-driven insights
Helping clients unlock new opportunities for growth
Getting clients the most ROI from their digital marketing

New

Director, Network Services, Analytics, EEMEA

Director, Network Services, Analytics, EEMEA leads the analytical, financial mod...

Location

South Africa , Johannesburg

Salary:

Not provided

Mastercard

Expiration Date

June 19, 2026

Requirements

Proven expertise in financial analytics, data modeling, and portfolio performance management within payments, fintech or financial services
Combines analytical depth with commercial acumen, translating complex data into strategic insights that inform pricing, monetization and go-to-market decisions
Experienced in applying data frameworks, scenario modeling, and advanced analytics to evaluate opportunities, optimize yield and accelerate revenue growth
Ability to lead and manage a dedicated analytics team, fostering capability development, collaboration, and high performance in a matrixed, global organization
Comfortable engaging with both technical specialists and senior business leaders, connecting analytical findings to strategic and financial outcomes
Skilled in leveraging financial and BI tools (Excel, Power BI, Tableau, SQL) to deliver actionable insights, forecasting accuracy, and performance visibility
Strong cross-functional collaborator who embeds data-driven decision-making across Product, Finance and the broader Network Services team
Outcome-focused leader who balances analytical rigor, business judgment, and strategic storytelling to drive measurable results and enterprise impact

Job Responsibility

Develop and maintain financial and business case models to evaluate new products, pricing and commercialization opportunities, quantifying revenue potential, margin impact and ROI
Design and institutionalize analytical frameworks, models, and dashboards to measure and optimize revenue, yield and margin performance across Services products, channels and segments
Lead portfolio analytics and performance management, driving data-driven insights, scenario modeling and profitability assessments to inform investment and commercialization strategies across Services products, channels and segments
Conduct elasticity analysis, competitive benchmarking, and market assessments to guide pricing and deal strategies that enhance yield and commercial outcomes
Translate analytical insights into actionable recommendations for leadership, shaping pricing strategy, resource allocation and commercial decision-making
Collaborate cross-functionally with Finance, Product, Sales and Network Services to align analytics, pricing and commercialization governance with enterprise growth and margin objectives
Champion data-driven decision-making by building analytical tools, dashboards and scorecards that enhance visibility, accountability and pricing discipline across the Services organization
Leadership & People Management: Proven people leader with experience building and managing high-performing analytical teams across on-site and virtual environments

Fulltime

!

Lead, Advanced Analytics, Services

Airbnb was born in 2007 when two hosts welcomed three guests to their San Franci...

Location

United States

Salary:

164000.00 - 191000.00 USD / Year

Airbnb

Expiration Date

Until further notice

Requirements

A quantitative undergraduate degree with a strong preference for candidates holding an MBA or equivalent advanced degree, with 8+ years of industry experience in a Data Science, Analytics, or equivalent role
Prior experience in advanced analytics or business data science within a marketplace or business strategy setting
Deep technical expertise in data analysis, experimentation and causal inference, and experience in applying these skills to derive insights from broad data sets
Exceptional business acumen, strategic thinking skills, and the ability to make informed judgments
Excellent communication skills, capable of engaging with a variety of stakeholders and conveying complex concepts in an accessible manner
Proven stakeholder management skills, with the ability to collaborate and influence across functions
An agile, growth-minded approach, demonstrated through a history of driving projects from ideation to impact

Job Responsibility

Conduct advanced data analysis to extract actionable insights that inform strategic decisions across key geographical markets
Collaborate closely with the new business teams, providing data-driven insights to support strategic decisions
Analyze broad data to understand the key drivers of bookings, attach rate, revenue, profitability, occupancy, rebooking rate, churn, and other key metrics
Define new metrics and identify leading indicators of key business outcomes
Build dashboards to track key performance metrics across markets and customer segments to establish benchmarks
Conduct A/B tests to improve business performance and maximize incrementality
Collaborate with cross-functional teams, including Strategic Finance, Data and Analytical Engineering, and Data Science, to align strategies and leverage synergies

What we offer

bonus
equity
benefits
Employee Travel Credits

Fulltime

Analyst, Commercial Services Analytics, APEC

The Analyst, Commercial Services Analytics is responsible for developing, mainta...

Location

Singapore , Singapore

Salary:

Not provided

Marriott Bonvoy

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Quantitative discipline (Data Analytics, Computer Science, Information Systems, Economics, Statistics or relevant field)
Experience in hospitality analytics topics, especially in loyalty and guest analytics (1+ years)
Hands on experience developing business applications (3 years or more)
Hands on experience developing corporate reports, dashboards and reporting visualizations (3 years or more)
Experience in working with, developing, and maintaining data pipelines/databases (3 years or more)
Expertise in business application development using Power Apps
Expertise in data visualization and dashboard creation to support downstream business analysis in Microsoft Power BI
Expertise in database query languages (i.e. SQL) and cloud/on-premise database management, ability to manage mid to large-sized corporate databases
Fluent in written and oral communication in English

Job Responsibility

Develop analytical approaches to support all key business processes throughout the year
Provide support and develop/maintain/update Continent tools and develop analysis to identify Commercial opportunities
Develop measurement techniques to evaluate the effectiveness of multiple initiatives
Work closely with operations research and systems personnel in creating and developing decision support systems that will lead to enhanced commercial metrics
Respond to requests from stakeholders for data and analysis
Special projects, including ad hoc requests for information, analysis and recommendations relative to Commercial initiatives

Fulltime

Manager, Data & Analytics Services

Labcorp is seeking a Data & AI Engineering Manager to join our team at Bangalore...

Location

India , Bengaluru

Salary:

Not provided

Life Science Talent

Expiration Date

Until further notice

Requirements

Bachelor's or master's degree in computer science, Engineering, Data Science
8–12 years of experience in data engineering, analytics engineering, or data platform development
4+ years of Proven leadership experience managing data engineering teams
4+ years of strong expertise in ETL/ELT pipelines, SQL, data modeling, and modern data platforms (e.g., Databricks, Snowflake)
3+ years of Experience enabling BI and reporting solutions (e.g., Tableau, Power BI)
3+ years of Exposure to AI/ML or GenAI projects, with understanding of model deployment and lifecycle management
3+ years of experience working with cloud platforms (AWS, Azure, or GCP)

Job Responsibility

Lead and mentor a team of data engineers and AI engineers
Design and manage scalable data pipelines, data models, and enterprise data platforms
Develop analytics-ready datasets to support business reporting and dashboards using BI tools
Ensure data quality, governance, reliability, and performance across the data ecosystem
Manage delivery of AI and machine learning initiatives, working closely with data scientists and business teams
Oversee the lifecycle of AI/GenAI use cases, from concept to deployment and value realization
Collaborate with stakeholders to translate business needs into data and AI solutions
Contribute to the data and AI technology roadmap and architecture strategy

Fulltime

Manager, Data & Analytics Services

Labcorp is seeking a Manager, Data & Analytics to join our team!! Work Schedule ...

Location

India , Bengaluru

Salary:

Not provided

Life Science Talent

Expiration Date

Until further notice

Requirements

Bachelor’s or master’s degree in computer science, Data Science, Information Systems
10+ years of experience in data analytics, reporting, or business intelligence roles
5+ years of experience managing and mentoring analytics teams

Job Responsibility

Lead and manage a team of data analysts delivering dashboards, reports, and analytics solutions using tools such as Spotfire, Power BI, and similar BI platforms
Oversee the development of insightful, user-friendly reports and dashboards aligned with business needs
Plan, assign, and monitor team deliverables to ensure timely and high-quality analytics outputs
Collaborate with business stakeholders to understand requirements and translate them into actionable analytics solutions
Provide regular status updates, insights, and recommendations to leadership
Mentor team members and promote best practices in reporting, data visualization, and analytics delivery

Fulltime

Inside Sales Executive- Data & Analytics Services

Diggibyte Technologies is a high-growth data modernization company specializing ...

Location

India

Salary:

Not provided

Diggibyte

Expiration Date

Until further notice

Requirements

2+ years of experience in Inside Sales, preferably in B2B SaaS, Cloud, or Data Analytics
Strong outbound prospecting skills (cold calling, LinkedIn, email outreach)
Experience working with AWS, Azure, or Databricks-based solutions is a plus
Ability to engage and build relationships with C-level executives and data leaders
Excellent communication, presentation, and negotiation skills
Familiarity with CRM tools (Zoho, HubSpot, Salesforce) to track and manage sales pipelines
Highly motivated, target-driven, and comfortable working in a fast-paced startup environment

Job Responsibility

Engage with enterprise clients to generate leads and drive sales pipeline growth
Promote AWS & Azure Databricks-based data modernization solutions to C-level executives, data leaders, and decision-makers
Build relationships with potential clients through cold calling, email outreach, LinkedIn networking, and follow-ups
Work closely with pre-sales and sales teams to qualify and nurture leads, ensuring high conversion rates
Maintain a high-performance sales funnel, tracking all activities via CRM tools
Identify new business opportunities through research, outbound calls, and networking
Generate qualified leads by conducting high-volume cold calls, LinkedIn outreach, and targeted email campaigns
Collaborate with the marketing team to leverage campaigns, webinars, and events for lead acquisition
Initiate conversations with potential clients and conduct discovery calls to understand their data modernization needs
Qualify leads based on pain points, budget, and decision-making authority, ensuring high-value prospects enter the sales pipeline

Fulltime

Big Data Scientist for the Services Analytics Plateau

The Services Analytics Plateau (working mode: Agile Scrum) is searching for an e...

Location

Germany , Manching

Salary:

Not provided

Airbus

Expiration Date

Until further notice

Requirements

M.Sc. (ideally Ph.D.) in statistics, physics, mathematics, computer science, aerospace engineering or a related field
Several years of relevant professional experience working in data-driven projects, preferably within an Agile environment
Demonstrated expertise in processing and analysing of aircraft sensor and maintenance data
Hands-on experience on the development and in-service implementation of health monitoring and predictive maintenance models for the aerospace sector
Deep knowledge and expertise in data analysis and statistical interpretations of data (e.g. probability distributions, statistical tests, anomaly detection, Bayesian inference)
Experience working in Big Data Projects using Spark and Spark-Submit Jobs for building ELT pipelines and creating data products
Working knowledge of Unix systems, including command-line operations and scripting (e.g., Bash)
Expertise in DevOps and Python coding in a production environment, as well as excellent knowledge of SQL technologies and databases
Experience in the development visualisation tools (e.g. Spotfire) and front-end applications (Streamlit, Django)
Fluent in English and ideally also in German

Job Responsibility

Product discovery and maturation: Ask the right questions to support the discovery process
Identify the data-analytics problems that offer the greatest opportunities to the organization
Perform exploratory data analysis using visualization and sense
You are or will be familiar with our business and actively follow market trends
You present your findings to stakeholders using visualisation and other means
Data structuring: Collating data and "data wrangling", i.e. transforming, cleansing and linking it with other data.
Providing data sets for machine data models
determining relationships between data source attributes
Apply data mining techniques to carry out statistical analysis.
Create and validate models, also but not only using ML

What we offer

Attractive salary and special payments
30 days paid vacation and extra days-off for special occasions
Excellent upskilling opportunities and great international, group wide development prospects
Special benefits: employer-funded pension, employee stock options, discounted car leasing, special conditions for insurances, subsidies for public transport, employee benefits at cooperating companies
On-site-facilities: Medical officer for check-ups and other health-related services, canteen and cafeteria, kindergarten close to the site
Compatibility of family & work (job sharing, part-time models, flexible working hours, individual timeout)
Working in a diverse environment, with more than 140 nationalities, where every voice is heard

Fulltime

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Analytics services

Job Description

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Analytics services

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