CrawlJobs Logo

Senior Analyst, Sales Technology & Data Strategy

uber.com Logo

Uber

Location Icon

Location:
Netherlands , Amsterdam

Category Icon
Category:

Job Type Icon

Contract Type:
Not provided

Salary Icon

Salary:

Not provided

Job Description:

The Delivery Commercial Operations (DCO) team accelerates B2B revenue by empowering commercial teams to acquire and grow high-value Merchant partnerships. We operate under a model of 'Innovating at the Edge, and Scaling in the Core,' ensuring that our go-to-market teams are supported by world-class infrastructure and operational excellence. As a Senior Sales Operations Associate, you will play a critical role in enabling high-performance commercial teams by driving data integrity, systems optimization, and operational governance. You will serve as a guardian of our data and systems, partnering cross-functionally with Sales, Finance, and Systems teams to ensure alignment, accuracy, and efficiency in the sales process.

Job Responsibility:

  • Maintain and improve CRM data integrity (e.g., Salesforce) and reporting capabilities to support the sales lifecycle
  • Ensure data accuracy and manage field escalations regarding systems or data issues
  • Execute and enhance processes for sales planning and tracking, ensuring strict adherence to data governance standards and operational policies
  • Build reports and models to support sales planning and provide actionable insights
  • Interpret data to identify trends and operational gaps
  • Collaborate with stakeholders to identify operational gaps in our systems and workflows, recommending scalable solutions to improve efficiency
  • Coordinate with stakeholders across Sales, Finance, and Compensation to ensure data flows accurately between systems and teams
  • Independently solve operational problems related to territory management, quota setting, or system errors with general supervision

Requirements:

  • 3-5 years of experience in sales operations, business analysis, or a related field, with a focus on data management or systems governance
  • Bachelor's degree in Business, Finance, or a related field
  • Proficiency in CRM tools such as Salesforce
  • Proficiency in Microsoft Excel, SQL, and Google Sheets
  • Moderate proficiency with data visualization tools (e.g., Tableau, Looker) for reporting purposes
  • Strong analytical and problem-solving skills with a high degree of accuracy and detail orientation

Nice to have:

  • You understand the full sales lifecycle and can identify factors influencing sales performance
  • You can independently navigate sales data and systems (e.g., Salesforce) to support the business
  • You analyze data for insights, applying appropriate methods and tools, and communicate findings clearly with limited guidance
  • You demonstrate intermediate to advanced proficiency in SQL and Excel
  • You execute planning and operations processes accurately and support modeling efforts
  • You are detail-oriented and focused on process improvement
  • You solve moderately complex issues using structured thinking
  • You can identify surface-level data issues and use logic to address them
  • You present updates effectively to cross-functional partners, providing clear and actionable reporting
  • You effectively manage relationships across a few teams or functions, building trust with your counterparts in Sales and Finance

Additional Information:

Job Posted:
February 04, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
Job Link Share:

Looking for more opportunities? Search for other job offers that match your skills and interests.

Briefcase Icon

Similar Jobs for Senior Analyst, Sales Technology & Data Strategy

Senior Sales Analyst - Planning & Performance Team

AUTO1 Group is Europe's biggest wholesale platform for car dealers, providing th...
Location
Location
Romania , București
Salary
Salary:
Not provided
auto1.com Logo
AUTO1 Group
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 4-6 years of working experience in automotive industry or experience working within a high-growth technology company would be highly beneficial
  • Bachelor's or Master’s degree in business studies or related fields
  • Able to operate successfully in a lean, fast-paced organization, and to create a vision and organization that can scale quickly
  • Experience utilizing SQL, GSheets and other tools to manipulate and analyze large, complex data sets
  • Hands-on experience on visualization tools
  • Excellent organization skills as well as written and verbal communication skills
  • English is mandatory. Another EU language is a plus
  • Consulting / Investment Banking or Sales Operations roles / experience is a plus.
Job Responsibility
Job Responsibility
  • Lead and contribute to sales initiatives that align with market-specific needs and group-level goals
  • Identify trends and opportunities for sales improvements
  • Oversee and prepare presentations for stakeholders
  • Prepare detailed sales forecasts and performance reports, including tasks such as identifying target dealers, supporting volume target setting, and creating tools to help teams achieve their targets
  • Conduct in-depth market analysis
  • Gather and analyze market data to support and refine sales strategies
  • Partner closely with VP Sales, Country Directors, Finance, BI, and Marketing teams to support sales initiatives and to make sure our platform serves our dealers' needs
  • Mentor and guide junior team members, fostering their professional growth.
Read More
Arrow Right

Senior Data Analyst

We are on the look out for a Senior Data Analyst to take a lead on our data anal...
Location
Location
United Kingdom , Norwich
Salary
Salary:
Not provided
evaro.com Logo
Evaro
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • A Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Economics, or a related field
  • 5+ years of experience in data analytics in at least one (more is a plus) of the following business areas: Product, Marketing and/or Sales, Clinical
  • Proficiency in analytics and data tools and technologies like SQL, Python, DBT, and knowledge of statistical analysis and experimentation (e.g. A/B testing)
  • Experience with data visualisation tools (e.g. Looker, Metabase or Lightdash)
  • Experience working with a version control environment (e.g. git)
  • Excellent communication skills, with the ability to translate complex data insights into actionable strategies
  • Fluency in English, with outstanding written and verbal communication skills
Job Responsibility
Job Responsibility
  • Help develop and implement a comprehensive analytics strategy that aligns with Evaro’s objectives
  • Design, develop, automate, and maintain ongoing metrics, reports, analyses, experiments and dashboards on the critical drivers of our business
  • Maintain data integrity and quality through the use of tools such as DBT
  • Partner with teams across the org, including senior leadership, to provide insights and identify opportunities for growth and optimisation in company direction, patience experience, marketing and engagement flows
  • Champion the use of data in decision-making, ensuring data accessibility and literacy across all departments
What we offer
What we offer
  • Salary based on your expertise
  • Pension scheme
  • Flexible working options
  • Opportunities for professional development and growth
  • A modern office based just outside of Norwich
  • Regular team building and events
  • Fulltime
Read More
Arrow Right

Senior Marketing Analyst, AI and Insights

Senior Marketing Analyst who’s passionate about turning data into stories and in...
Location
Location
Slovakia , Bratislava
Salary
Salary:
2800.00 EUR / Month
bloomreach.com Logo
Bloomreach
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 5+ years in marketing analytics, data science, or marketing operations (B2B experience a plus)
  • Hands-on experience with Marketing Attribution tools, and data visualization tools (like Tableau, Power BI, or Looker)
  • Strong analytical skills with SQL, Python is a plus
  • Experience using AI or machine learning tools for marketing insights, forecasting, or automation
  • A curiosity for new tech — you love testing tools and figuring out how to make them work for your team
  • Excellent communication skills — you can explain complex data in a way that gets people’s attention
Job Responsibility
Job Responsibility
  • Dig into marketing data from Salesforce, Hockeystack, and other tools to uncover insights that shape campaigns, content, and customer strategy
  • Build dashboards and reports that make complex data simple and actionable for marketing and leadership teams
  • Experiment with AI-powered analytics — from predictive models and segmentation to generative AI tools that surface new marketing opportunities
  • Evaluate and recommend new technologies that can help us level up our marketing intelligence stack
  • Collaborate with marketing, sales, and data teams to make sure insights drive real business impact
  • Tell great data stories — not just numbers, but clear, compelling narratives that influence decisions and strategies
What we offer
What we offer
  • Restricted stock units
  • Company performance bonus
  • Great deal of freedom and trust
  • Flexible working hours
  • Work virtual-first with several Bloomreach Hubs
  • Company events
  • 5 paid days off to volunteer
  • People Development Program
  • Communication coach available
  • Leader Development Program
  • Fulltime
Read More
Arrow Right

Senior Analyst, Consumer Revenue Operations

Ethos is looking for a highly driven, self-starter to join the Revenue Operation...
Location
Location
India , Bangalore
Salary
Salary:
Not provided
ethoslife.com Logo
Ethos
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 4+ Years of Overall experience, preferably in Revenue/ Sales Operations, PnL, Ops & Strategy or other related fields
  • 2+ Years of experience in Revenue/ Strategy/ Growth function in B2C
  • Tier-1 UG/ Tier 1/ 2 MBA (with at least 2 years of experience post MBA)
  • Salesforce system admin experience, experience with configuring and using sales technologies (e.g. CRM - Salesforce,Hubspot, Telephony Tools etc.)
  • Proficient in using analytical tools like Excel, SQL to derive actionable insights from data
  • Highly motivated, self-directed, team player that can be a jack-of-all-trades
  • Demonstrated capabilities of working in a high growth, ambiguous startup environment
  • Comfort with ambiguity, a positive attitude, and a drive to manage projects to completion
  • Comfort with numbers and analysis with a desire to build on analytical skills
  • Exceptional written and oral communication skills
Job Responsibility
Job Responsibility
  • Proactively monitor and strive to maintain high levels of data quality, accuracy, and process consistency across all Revenue Operations functions
  • Develop, implement, and maintain standard operating procedures for Salesforce and other systems to ensure the team is keeping up to date on cases, tasks and overall activity goals
  • Optimize processes with a view to continually improve how the systems are configured to optimize the efficiency and effectiveness of our sales programs and people
  • Drive end to end initiatives aligned with the strategic quarterly goals of the Revenue Org and the company, support strategic projects working internally and cross functionally
Read More
Arrow Right
New

VP Commercial Strategy & Data

Our team’s vision is to deliver the best global intelligence from brilliant data...
Location
Location
United Kingdom , London
Salary
Salary:
90000.00 - 110000.00 GBP / Year
careers.itv.com Logo
ITV Jobs
Expiration Date
May 11, 2026
Flip Icon
Requirements
Requirements
  • Data Strategy Leadership: extensive experience in a senior commercial strategy and data role, with a proven track record in unifying complex disparate datasets. The ability to design data flows and taxonomies that bridge the gap between "noisier" 3rd-party data and "cleaner" internal CRM and 1st party viewing data
  • AI/Automation Implementation: A deep understanding of how Large Language Models (LLMs) and agentic workflows can be applied to commercial data to drive automated decision-making. Demonstrable experience in deploying AI, machine learning, or advanced automation tools within a Salesforce or CRM-heavy environment to scale commercial impact as well as more traditional self-serve tooling
  • Change Management: Experience leading and developing a team into achieving more with large data sets and advanced statistical analysis
  • Strategic & Operational versatility: Proven ability to oscillate between high-level strategic planning (5-year view) and operational execution (quarterly and annual sales cycles).
  • Strategic Modeling: Expert-level ability to create robust commercial assumptions and "proxies" in data-poor environments or emerging markets where direct measurement is unavailable. Deep appreciation for financial modeling, forecasting, and performance metrics
  • Data Translation: An expert storyteller who can distill complex datasets (ratings, demographics, churn) into simple, persuasive commercial narratives.
  • Streamer and advertising ROI economics: know how data-led streamer buyers value content, the fundamentals of the subscriber economics, and be able to use data to prove the benefits of the content we’re selling in subscriber and revenue terms. The same for media valuations.
  • Stakeholder Management: Exceptional ability to influence cross-functional teams (Marketing, Sales, Finance) without direct authority.
  • Deal Acumen: Experience supporting high-value content negotiations
  • you understand the mechanics of SVOD, AVOD, and Linear licensing deals and how data can provide immediate value in achieving new sales or maximising rates
Job Responsibility
Job Responsibility
  • Commercial Strategy & Roadmap: Architect the Global Sales Roadmap: Translate commercial goals into a cohesive Go-to-Market plan, aligning scripted/unscripted launch milestones with commercial sales cycles
  • Content Economic Profiling: Maintain a deep understanding of the global TV landscape to create data-led Content Archetypes that help the AI Agents recommend the right shows for the right buyers
  • Revenue Optimization: Drive pricing and packaging strategies by synthesizing disparate data sets into clear business cases for high-value negotiations
  • Strategic Advisory: Serve as a key partner to the C-Suite and Sales Leadership, answering complex business questions such as market expansion, windowing strategies, and catalogue valuations
  • Editorial-to-Data Translation: Bridge the gap between editorial themes and hard data performance, ensuring our automated narratives reflect the creative strength of the ITV Studios catalogue
  • Sales Enablement: Tooling & Narratives: Oversee the creation of high-impact sales tools (ROI calculators, viewership forecasts, competitive positioning) that empower the sales team to negotiate effectively
  • Planning & go-to-market governance: Implement a strategic governance framework to prioritize high-value commercial initiatives and ensure resource allocation aligns with in-year and longer-term growth
  • Pipeline Planning: Collaborate with Marketing and Sales to synchronize content launches and sales-enabling insights at the right time
  • Global Commercial Data strategy: Data Strategy & Unified Taxonomy: Establish a global commercial taxonomy to unify fragmented datasets (ratings, digital feeds, news feeds, and vendor data) into a single, queryable "Source of Truth" for the entire organization working closely with the lead data analyst and group data and Studios technology teams
  • Multi-Year Data Roadmap: Design the requirements and execute a 1- to 3-year roadmap that transitions from legacy manual reporting to an automated, API-driven data ecosystem for global viewership data
What we offer
What we offer
  • Flexible working with a range of options
  • Generous holiday allowance, plus you can buy more
  • Annual bonus opportunity
  • Competitive pension contribution
  • Save as you earn - with an opportunity to buy ITV shares
  • Wellbeing and volunteering days plus a wide range of opportunities to help you live a balanced and healthy life
  • Fulltime
!
Read More
Arrow Right

Senior Financial Analyst

The finance team at Babylist is expanding! As a Senior Financial Analyst support...
Location
Location
United States
Salary
Salary:
116532.00 - 139855.00 USD / Year
babylist.com Logo
Babylist
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • At least 3-5 years of experience, ideally with experience in an FP&A role in a high growth consumer technology or e-commerce company
  • Strong background in E-commerce and associated metrics and concepts, such as AOV, gross to net, unit economics, gross margin vs contribution margin, etc.
  • Strong attention to detail, with the ability to ensure accuracy and precision in financial analysis, reporting, and modeling
  • Advanced Excel skills with expertise in financial modeling, scenario analysis, and large dataset management
  • Excellent analytical and problem-solving skills, with the ability to interpret complex financial data and provide actionable insights
  • Exceptional communication and presentation skills (including data visualization), with the ability to effectively communicate financial information to non-financial stakeholders
  • Strong sense of ownership, intellectual curiosity and an ability to think creatively and critically and thrive in a fast-paced, dynamic environment and manage multiple priorities
  • Passion to continuously provide exceptional customer service to all internal business partners
  • Demonstrated expertise in synthesizing large datasets from business intelligence platforms and financial systems to empower an organization to efficiently plan and monitor financial performance
  • Bachelor's degree in economics, Finance or a related field. MBA is plus
Job Responsibility
Job Responsibility
  • Monthly financial business review preparation for the E-commerce business, providing insights on sales, margins, and trends
  • Own E-commerce forecasting, budgeting, and variance analysis in partnership with Merchandising, Planning and Accounting
  • Support development of pricing and promotional strategies, including ROI analysis and optimization
  • Analyze Co-Op, DDA, and rebate programs to assess financial impact and track accruals
  • Deliver SKU and departmental reporting from revenue through margin
  • Ensure data integrity of key ecommerce metrics in collaboration with Data and Engineering
  • Prepare financial reporting including, dynamic dashboards, business analyses, financial statements, KPI reporting, operational dashboard reporting, analysis of key business trends, and comprehensive executive level explanations of differences
  • Take ownership of establishing and managing new financial processes to address current gaps
  • Design and implement processes and reporting frameworks to enhance operational transparency
  • Leverage financial systems to provide visibility and transparency to business leaders in order to better track against financial targets
What we offer
What we offer
  • We invest in the infrastructure you’ll need to be supported and successful: tools, opportunities to connect with colleagues, and a stipend to help you set up your office
  • We offer competitive pay and meaningful opportunities for career advancement
  • We have great benefits like company paid medical, dental, and vision, a generous paid parental leave policy, and 401k with company match
  • We care about employee wellbeing with perks for physical, mental and emotional health, parenting, childcare, and financial planning
  • Babylist offers equity, bonus opportunities, and a comprehensive benefits package, including company-paid health, dental, and vision insurance, 401(k) matching, flexible spending accounts, and paid leave, including PTO and parental leave
  • Fulltime
Read More
Arrow Right

Senior Manager, Product Management Data and Analytics AdTech

We are seeking a Senior Manager, Product Management (Data & Analytics) to lead o...
Location
Location
United States , Bellevue
Salary
Salary:
151700.00 - 273700.00 USD / Year
https://www.t-mobile.com Logo
T-Mobile
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's Degree Computer Science, Engineering, or Information Technology
  • Master's/Advanced Degree Business Administration or Technology Management
  • 4-7 years experience in product management experience, including at least 3+ years in a leadership or mentorship capacity
  • Strong SQL skills
  • demonstrated experience integrating machine learning or predictive modeling into product strategies
  • Proven success leading small product teams, driving alignment, and encouraging teamwork across cross-functional groups
  • Ability to frame business problems in analytical terms and translate insights into actionable product features
  • Familiarity with ad tech identity solutions (MAIDs, cookies, IDFVs), privacy regulations (GDPR, CCPA), and data governance
  • Capable of articulating sophisticated technical concepts to diverse audiences, including executives, engineers, and clients
  • Track record of delivering products
Job Responsibility
Job Responsibility
  • Platform Data Product Strategy & Vision Define and execute the platform data and analytics roadmap
  • Hands-on Technical Execution Use SQL and other data analysis tools to investigate product performance
  • Team Leadership & Development Lead, mentor, and develop a small team of product managers or analysts
  • Machine Learning Integration Collaborate with data science teams to embed ML models into product offering
  • Cross-Functional Collaboration Work closely with engineering, data science, sales, and marketing to align on product goals
  • Data-Driven Decision-Making Leverage product metrics, user feedback, and analytics to inform decisions
  • Client & Stakeholder Engagement Gather and prioritize feedback from internal and external stakeholders
  • Market & Competitive Analysis Stay informed on emerging industry trends, technologies, and competitor strategies
  • Ownership of Full Product Lifecycle Oversee products from ideation through launch and ongoing optimization
  • Compliance & Privacy Collaborate with legal and compliance teams to design privacy-first product features
What we offer
What we offer
  • medical, dental and vision insurance
  • flexible spending account
  • 401(k)
  • employee stock grants
  • employee stock purchase plan
  • paid time off
  • up to 12 paid holidays
  • paid parental and family leave
  • family building benefits
  • back-up care
  • Fulltime
Read More
Arrow Right

Senior Sales Data Analyst

N-iX is a global software development company founded in 2002, connecting over 2...
Location
Location
Salary
Salary:
Not provided
n-ix.com Logo
N-iX
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 4+ years of experience in analytics, sales operations, revenue insights, or data-driven consulting
  • Be able to work within Canadian Timezone (EDT)
  • Excellent SQL skills: you are comfortable querying large datasets and optimizing queries for performance
  • Experience with Python for data analysis, automation, or forecasting
  • Ability to model data and build efficient analytics pipelines for production or stakeholder-facing use cases
  • Strong statistical knowledge, including experiment design and evaluation
  • Expertise in BI tools such as QuickSight, Tableau, or similar platforms, including building semantic models, cubes, and automated reports
  • Strong communication skills - you can explain insights, trends, and analytical solutions to technical and non-technical stakeholders
  • High motivation, proactiveness, and a genuine enthusiasm for transforming sales performance through data
  • Upper-Intermediate of English, both spoken and written
Job Responsibility
Job Responsibility
  • Data-Driven Sales Performance Optimization: as a Data Analyst, you play a key role as an analytical sparring partner for our customers’ sales organization, ensuring that commercial decisions and sales processes are grounded in robust data. You will be an integral part of our customers’ Sales Analytics Team
  • Deep Customer & Sales Funnel Understanding: you will develop a deep understanding of the customer segments, sales funnels, and commercial products. You will analyze the acquisition, channels, sales pipeline conversion, account health, churn, and upsell behavior to identify improvement opportunities for sales teams across markets
  • Data Enablement & Self-Service Analytics: you build self-service analytics products such as dashboards, forecasting models, and metric frameworks. You evaluate new analytics technologies, including GenAI applications, and establish scalable use cases that give sales teams and leadership easy access to reliable insights. You empower stakeholders by enhancing their data literacy and enabling data-and insights-driven decision-making
  • Consultative Analytics & Insight Generation: you answer commercial and operational questions through deep-dive analyses, clearly communicating insights, trends, and recommendations to sales, operations, and leadership teams. You help transform complex analysis into actionable guidance that supports revenue growth, customer success, and sales efficiency
  • Collaboration & Data Quality: you collaborate with CRM, engineering, tracking, and data platform teams to ensure high-quality data instrumentation, data reliability, and alignment on metric definitions. You help maintain documentation for commercial KPIs and contribute to building a shared understanding of sales performance drivers
  • Experimentation & Optimization: you support experimentation and optimization initiatives by designing A/B or quasi-experimental tests, defining hypotheses, ensuring statistical rigor, and interpreting outcomes to drive improvements across sales processes, pricing strategies, and sales enablement tools
What we offer
What we offer
  • Flexible working format - remote, office-based or flexible
  • A competitive salary and good compensation package
  • Personalized career growth
  • Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
  • Active tech communities with regular knowledge sharing
  • Education reimbursement
  • Memorable anniversary presents
  • Corporate events and team buildings
  • Other location-specific benefits
Read More
Arrow Right