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🔥 Revenue Operations Manager

Posted about 3 hours ago

📍 UK

🧭 Full-Time

💸 95000.0 - 115000.0 GBP per year

🔍 SaaS

🏢 Company: Sona👥 51-100💰 $27,500,000 Series A 10 months agoProductivity Tools Employment Human Resources Apps Enterprise Software

🔧 Requirements

5+ years in a Revenue Operations, Sales Ops, or Marketing Ops role within a SaaS (ideally vertical SaaS), enterprise sales environment.
Deep understanding of B2B SaaS revenue models, GTM strategy, and enterprise sales cycles.
Proven technical expertise with CRM (ideally HubSpot), analytics tools, and sales engagement platforms.
Strong data analytics skills—comfortable with dashboards, SQL, or similar tools.
Ability to align cross-functional teams and build scalable RevOps processes.
Passion for process optimisation, automation, and driving data-led decisions.
Strategic thinker who can balance high-level planning with hands-on execution.

💡 Responsibilities

Ensure Marketing, Sales, and Customer Success share common goals (e.g., pipeline conversion, customer lifetime value). Improve collaboration and visibility across teams for seamless lead handoffs.
Own and maintain a centralised data repository, integrating CRM (HubSpot), analytics tools, and conversation intelligence platforms (Gong, Trumpet).
Manage and optimise our data ecosystem, providing real-time insights that drive smarter decisions. Develop segmentation models to improve targeting and conversion rates.
Design and refine lead management, campaign execution, and feedback loops to improve efficiency and alignment between teams.
Oversee and enhance our RevOps tech stack (HubSpot, Zoominfo, Gong), automating workflows to boost efficiency and ensure seamless integration.
Implement multi-channel attribution models to track revenue contribution across outbound, inbound, events, and paid channels.
Track and report marketing’s contribution to revenue, develop forecasting models, and ensure accountability for pipeline performance.
Create repeatable playbooks for sales and marketing teams to scale efficiently.
Provide insights into churn risks and identify upsell/cross-sell opportunities within the customer base.

SQL Data Analysis Salesforce Cross-functional Team Leadership Amplitude Analytics Tableau Business Operations Product Analytics API testing REST API Analytical Skills Data visualization Strategic thinking Process improvement CRM Financial analysis Data modeling Data analytics Data management SaaS

Posted about 3 hours ago

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🔥 Business Intelligence Engineer

Posted about 7 hours ago

📍 United States

💸 112000.0 - 126000.0 USD per year

🔍 Software Development

🏢 Company: Titan Cloud

🔧 Requirements

5+ years of experience in data analytics and business intelligence
Direct experience with data visualization tools (Power BI, Tableau, Looker).
Strong SQL skills for querying, transformation, and performance tuning.
Strong problem-solving skills and the ability to translate business needs into technical solutions.

💡 Responsibilities

Analyze business data to identify trends, patterns, and opportunities for improvement.
Develop key performance indicators (KPIs) and metrics to track business performance.
Conduct ad-hoc analyses to support decision-making across teams.
Work closely with analysts and business stakeholders to understand data needs and reporting requirements.
Create and maintain interactive dashboards and reports using Power BI, Tableau, Looker, or similar tools.
Create automated reporting solutions to support business operations and decision-making.
Write efficient SQL queries to extract and manipulate data from databases.
Present findings and insights to stakeholders in a clear and actionable manner.
Support self-service BI initiatives, enabling non-technical teams to access and use data effectively.
Automate and optimize reporting processes to improve efficiency.
Design, develop, and maintain ETL (Extract, Transform, Load) processes to integrate data from multiple sources
Identify opportunities for process automation and efficiency improvements.
Ensure data integrity, consistency, and performance optimization in database solutions.

SQL Business Intelligence Data Analysis ETL Tableau Data engineering Analytical Skills Reporting Data visualization Data modeling Data analytics

Posted about 7 hours ago

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🔥 Product Manager Technical II, BI/Analytics (Work Remotely Anywhere in the U.S.)

Posted about 8 hours ago

📍 United States

💸 89000.0 - 140000.0 USD per year

🔍 Business Intelligence/Analytics

🏢 Company: Businessolver👥 501-1000💰 Private about 7 years agoAccounting Financial Services Information Technology

🔧 Requirements

Minimum of 5 years of BI development or product management experience, preferably with a background of building analytic products intended for external/client stakeholders vs. internal stakeholders.
Expertise in BI tools, data warehousing, data modeling, and analytics platforms.
Proficiency in using statistical tools and techniques to analyze data and generate insights.
Experience democratizing data to emphasize the accessibility and comprehensibility of data across the organization.
Extensive experience with BI visualization tools such as Tableau, Microsoft Power BI or similar platforms for creating dashboards and reports.
Understanding of data warehousing concepts, including data storage, data mining, and the ability to work with large data sets.
Ability to write SQL (or Python) queries for data extraction, manipulation, and analysis. Knowledge of relational and non-relational databases.
Understanding of Extract, Transform, Load (ETL) processes for integrating, cleaning, and consolidating data from various sources.
Skills in data modeling and the ability to understand and design data schemas for analytics and reporting purposes.
Basic understanding of machine learning algorithms and their application in predictive analytics can be beneficial.
Knowledge of how to integrate with various APIs (Application Programming Interfaces) to pull in data from different services.
Experience with cloud services like AWS, Google Cloud, or Azure, particularly their data and analytics offerings.
Proven ability to develop product strategies and effectively communicate recommendations to executive management.
Experience with agile development methodologies and experience with product management tools and services.

💡 Responsibilities

Develop and maintain a product roadmap for BI and analytics offerings, ensuring alignment with overall business strategy, delivering high-quality, scalable solutions.
Collaborate with cross-functional teams to understand business needs and translate to technical requirements and BI solutions.
Work with engineering, design, and data science teams to develop data models, dashboards, and reports to provide actionable insights to stakeholders.
Work with internal stakeholders (sales/marketing, client teams, call center) to drive product adoption, retention, and growth.
Stay up to date with competitor insights and industry trends and emerging technologies in business intelligence to identify opportunities for innovation and differentiation.
Establish metrics and KPIs to measure product performance and inform future development decisions.
Facilitate product training and provide ongoing support to ensure customer and team understanding and product success.

AWS SQL Agile Business Intelligence Cloud Computing Data Analysis ETL Machine Learning Microsoft Power BI Product Management Cross-functional Team Leadership Tableau Product Development Product Analytics REST API Communication Skills Analytical Skills Collaboration Data visualization Data modeling Data analytics Data management

Posted about 8 hours ago

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🔥 Senior Data and Automation Analyst - Deal Desk

Posted about 9 hours ago

📍 United States, Canada

🧭 Full-Time

💸 79432.5 - 106800.0 USD per year

🔍 Finance

🏢 Company: Samsara👥 1001-5000💰 Secondary Market over 4 years ago🫂 Last layoff almost 5 years agoCloud Data Services Business Intelligence Internet of Things SaaS Software

🔧 Requirements

5+ years of experience in data analysis, business intelligence, or a related field.
Proficiency in SQL and Tableau.
Strong analytical, problem-solving, and communication skills.
Prior experience designing and implementing automation solutions to streamline processes.
Ability to distill critical insights from complex and unstructured data, and deliver concise, impactful insights to stakeholders.
Track record of managing priorities and producing deliverables on-time with minimal supervision in a fast-paced environment.

💡 Responsibilities

Build and maintain KPI dashboards and real-time reporting tools.
Automate Deal Desk workflows and build tools to enhance team productivity.
Analyze deal trends, identify success factors, and provide data-based insights to drive deal decisioning.
Develop predictive models to forecast deal outcomes and assess risk.
Define data governance strategies for pricing and deal data.
Partner with Finance, Sales Operations, and Business Technology teams to align on data and automation priorities.
Champion, role model, and embed Samsara’s cultural principles (Focus on Customer Success, Build for the Long Term, Adopt a Growth Mindset, Be Inclusive, Win as a Team) as we scale globally and across new offices.

SQL Business Intelligence Data Analysis Salesforce Tableau Communication Skills Analytical Skills Microsoft Excel RESTful APIs Problem-solving skills Cross-functional collaboration Data visualization Financial analysis Data modeling Data analytics

Posted about 9 hours ago

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🔥 Data Scientist

Posted about 9 hours ago

📍 United States

🔍 Fintech

🏢 Company: Credit Key👥 51-100💰 $15,000,000 Debt Financing over 2 years agoE-Commerce Financial Services Payments

🔧 Requirements

Bachelor’s Degree in STEM field. Master’s Degree preferred
Minimum of 2 years of experience in a Data Scientist role at a lending organization (Fintech, bank, credit union, etc.)
Prior experience with large complex time series datasets at a financial institution
Prior first line of defense credit or fraud risk management experience at a Fintech, BNPL, and/or Small Business Lending experience a plus
Experience utilizing consumer and commercial credit bureau score and tradeline data to enhance credit strategies
Deep hands-on experience in data analysis (writing your own code) utilizing tools such as Python, R, SQL, Tableau, SAS, or equivalent
Experience in financial modeling to determine business cost benefit results from A/B testing
Strong communication skills to influence key stakeholders including executive management, partner bank, and debt facility teams
A team player attitude with the ability to communicate clearly with both technical and non-technical stakeholders and handle ambiguity

💡 Responsibilities

Propose, implement, and analyze testing to further enhance key features of our credit risk framework including approvals, line assignment, pricing, and term lengths
Create new strategies to identify and mitigate fraud risk across the credit lifecycle- from new applications, to real time transaction authorizations, to account management
Partner directly with industry leading small business lending data providers to optimize use of existing data and explore and assess new data providers to improve our credit and fraud strategy performance
Create, execute, and analyze A/B testing experiments to improve credit performance
Develop, validate, and implement proprietary credit models using our unique data to drive our acquisition and account management risk strategies
Develop and execute credit and fraud risk tracking and credit bureau reporting
Work in a very cross-functional, fast paced environment with key stakeholders in Finance, Product, Marketing, and Operations

Python SQL Business Intelligence Data Analysis Machine Learning SAS EG Tableau Data science Data visualization Data modeling A/B testing

Posted about 9 hours ago

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🔥 Business Intelligence Analyst - 1570

Posted about 16 hours ago

📍 Argentina, Brazil, Mexico

🧭 Full-Time

🏢 Company: In All Media Inc

🔧 Requirements

Strong proficiency in SQL and Python for data manipulation and automation.
Extensive experience in ETL development and working with finance-related data.
Familiarity with DBT and Snowflake for data modeling and pipeline development.
Solid background in finance, accounting, or business analysis with a deep understanding of financial reporting processes.
Proven experience working with business intelligence tools such as Tableau.
Excellent communication skills with the ability to present complex data in a clear, concise manner.
Strong problem-solving skills and the ability to work under tight deadlines, particularly during financial close periods.

💡 Responsibilities

Design, develop, and maintain ETL pipelines to automate data workflows and ensure seamless integration of financial data.
Collaborate with Finance, Accounting, and Tax teams to enhance reporting accuracy, ensure compliance with financial regulations, and deliver actionable insights.
Work with financial data to improve data integrity and automate key processes to support financial close periods.
Develop and manage interactive dashboards using business intelligence tools (e.g., Tableau) to provide timely, actionable insights for leadership.
Support the development and implementation of data models and data pipelines using DBT and Snowflake.
Provide business analysis and data storytelling to support data-driven decision-making and process optimization initiatives.
Actively engage in problem-solving sessions and contribute ideas to streamline financial reporting processes.
Ensure compliance with financial regulations and internal policies regarding data management.

Python SQL Business Intelligence ETL Snowflake Tableau Financial Management Accounting Data visualization Financial analysis Data modeling Finance Data analytics Data management

Posted about 16 hours ago

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🔥 Sales Finance Manager, Employer Services - Remote

Posted about 18 hours ago

📍 United States

🧭 Full-Time

🔍 Employer Services

🔧 Requirements

5+ years of related experience in Sales Finance and Employer Services industry designing and managing sales compensation plans, with broad knowledge of multiple financial domains including financial analysis, forecasting, pricing, management reporting, budgeting and strategic planning
Experience communicating analytical findings for a range of different audiences, collaborative, commercial knowledge, team player.
Previous experience managing projects end-to-end and has experience getting results, organizing, and prioritizing deadlines.
Bachelor's degree in Finance or related discipline, familiarity with Tableau and global billing systems
Working knowledge of GAAP and IFRS

💡 Responsibilities

Oversee the design, validation and implementation of new compensation plans and for the Employer Services Sales organization
Autonomously set up and lead our Employer Services Finance support model day-to-day
Partner with Global & Regional Teams to take ownership in securing regular and accurate data feeds from global billing systems for tracking sales accomplishment against targets
Help deliver impactful consolidated financial analysis and report solutions by improving speed of insight and increasing sales performance
Process engineering as new products, teams, acquisitions, and investments are integrated into sales
Lead the development cycle for improving current processes through streamlining and automation, applying financial discipline, and collaboration with partners to deliver the broader Employer Services and Verification Solutions business strategy
Support and train Sales as their front facing finance partner with daily interaction with sales teams to help improve performance
Lead the annual goal setting process in partnership with sales and finance leadership while using multiple BU's across NA as sounding boards as applicable
Manage governance approval process for large commercial deals

Project Management Data Analysis Excel VBA Salesforce Tableau Financial Management REST API Communication Skills Analytical Skills Microsoft Excel Accounting Reporting Budgeting Sales experience Data visualization Stakeholder management Process improvement CRM Financial analysis Budget management

Posted about 18 hours ago

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🔥 Data Analyst

Posted about 18 hours ago

📍 USA, CAN, MEX

🏢 Company: Fleetio

🔧 Requirements

2+ years of experience in an analytics, business intelligence, or a related role using data to create actionable insights and recommendations that drive business outcomes
Experience collaborating with multiple business functions and supporting stakeholders by developing key metrics and delivering impactful analysis and reporting
Expert SQL skills with strong experience transforming raw data into clean datasets, optimizing code, and troubleshooting & improving others' code
Strong understanding of data warehousing and data modeling concepts(e.g. Star Schema)
Experience with data modeling using dbt
Expertise with Snowflake, databricks, BigQuery, or another cloud data warehouse
Experience building dashboards and reports in Looker, Tableau, Sisense/Periscope, Metabase or similar
Strong understanding of schemas for popular third-party SaaS applications (e.g. Salesforce, Marketo, Snowplow, Segment)

💡 Responsibilities

Collaborate with other Fleetians around the company to conduct deep-dive analyses and translate data into actionable insights and recommendations that inform strategic decisions and drive business outcomes.
Own analytics for stakeholders across product, finance, customer success, engineering, and other areas to understand their data needs, define key metrics, gather requirements, and make sure that required data is collected, modeled, and made available.
Enable self-serve analytics and ensure that stakeholders have access to insights by building and maintaining dashboards to track key business metrics and performance indicators.
Architect clean datasets for reporting and analysis using tools like dbt to model and transform data, while ensuring that company metrics have a reliable single source of truth.
Contribute to data governance and enforce best practices on our data and reporting platform. Coach and advise other data analysts, product managers, engineers, etc. on data modeling, SQL query optimization, and reporting.

Python SQL Business Intelligence Data Analysis Git Snowflake Tableau REST API Communication Skills Analytical Skills Data visualization Data modeling Data analytics Data management

Posted about 18 hours ago

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🔥 Senior Business Intelligence Analyst (Collections & Recovery) - Python/SQL/Tableau/PowerBI/Alteryx

Posted 1 day ago

📍 United States

🧭 Full-Time

💸 76128.0 - 124800.0 USD per year

🔍 Analytics, Insights, & Artificial Intelligence

🔧 Requirements

Prior professional experience in a Python programming and SQL coding heavy role
Proficient in PowerBI/Tableau dashboard development
Alteryx skills a plus
Extensive data engineering knowledge and experience

💡 Responsibilities

Produces specialized reporting packages, dashboards and scorecards for businesses, with a focus on understanding objectives and delivering insights
Uses various methodologies to rapidly generate impactful interactive visualizations or tools
Leads the implementation of initiatives in support of overall business / function strategy

AWS Python SQL Business Intelligence Cloud Computing ETL Microsoft SQL Server Tableau Data engineering REST API Communication Skills Analytical Skills Problem Solving Agile methodologies Presentation skills Written communication Reporting Active listening JSON Data visualization Data modeling Data analytics Data management

Posted 1 day ago

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🔥 Sr. Data Analyst

Posted 1 day ago

📍 Canada

🔍 Financial Services

🏢 Company: Borrowell👥 101-250💰 Debt Financing about 3 years agoCredit Artificial Intelligence (AI)Financial Services Finance FinTech

🔧 Requirements

3+ yrs Working experience with business reporting, forecasting and providing insights to business decisions through data
Demonstrated proficiency of SQL (INNER and OUTER joins, WHERE, GROUP BY clauses, and aggregate functions, subqueries)
Experience building, analyzing and validating statistical experiments
Proficiency with analytic tools such as Looker, Tableau, or similar
Basic knowledge of Python (numpy, pandas, statsmodels, matplotlib, seaborn) or R (tidyverse: dplyr, data.table, ggplot2...etc.)

💡 Responsibilities

Provide a window into business performance and help to make recommendations on what we build next.
Create and manage insights, experimentation, forecasting and reporting for various business partners at Borrowell.
Monitor existing key performance indicators and explore new areas of data to drive business growth and product improvement.
Make company data accessible, insightful and actionable to the different business divisions.
Work collaboratively with our business development, customer engagement, and product management teams to drive continued improvement and help them fully utilize our data in their decisions.

Python SQL Business Intelligence Data Analysis Tableau Pandas Reporting Data visualization

Posted 1 day ago

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