Senior Data Analyst
Tel Aviv District, Israel
Tipalti
Tipalti delivers smart payables that elevate modern business. Let’s bring scale, efficiency, and focus to your business through fully automated, end-to-end solutions.We're hiring a Senior Data Analyst to join our growing team of product analytics experts!
Do you dream of large data sets?
Do you love solving complex problems with data?
Have you used data visualization, just for fun?
If the answer is yes to any of the above, this job is for you!
Tipalti is Looking for a Senior Data Analyst who will join our growing Product Analytics team.
This person will take part in designing, developing and maintaining scalable solutions for measuring our product. Facilitating conversion of real-time data into powerful insights.
Why join Tipalti?
Tipalti is one of the world’s fastest-growing fintech companies. We free finance professionals to lead by modernizing the entire payables operation. We are a well-funded, late-stage start-up backed by high-profile investors. Our 2021 Series F funding round raised $270 million, valuing us at over $8.3 billion. With total funding of just over $550 million, and with more than 3000 global customers, Tipalti is one of the most valuable private fintech companies in the world.
At Tipalti, we pride ourselves on our collaborative culture, the quality of our product and the capabilities of our people. Tipaltians are passionate about the work they do, and keen to get the job done. Tipalti offers competitive benefits, a flexible workplace, career coaching, and an environment where diverse individuals can thrive and make an impact. Our culture ensures everyone checks their egos at the door and stands ready to reach for success together.
Founded in Israel in 2010, Tipalti is a global business headquartered in the San Francisco Bay Area (Foster City) with offices in Tel Aviv, Plano, Toronto, Vancouver, London, Amsterdam and Tbilisi.
In this role, you will be responsible for:
- Analyze product data to identify trends, patterns, and actionable insights that drive product development and customer engagement.
- Collaborate with product managers to define, track, and optimize key product metrics and KPIs related to user behavior, adoption, and performance.
- Develop and maintain dashboards and reporting tools for real-time monitoring of product performance and customer metrics.
- Conduct A/B testing and experimentation to assess the impact of new product features and user experience improvements.
- Translate complex data into clear, concise reports and presentations for stakeholders across the business, including executive leadership.
- Use SQL, Python, and other analytical tools to extract, clean, and manipulate large datasets for in-depth analysis.
- Work with cross-functional teams (engineering, marketing, and operations) to ensure data-driven decision-making across the product lifecycle.
- Monitor and improve data quality by identifying and resolving inconsistencies, gaps, and inaccuracies in product data.
- Support forecasting and predictive modeling efforts with DS team to help anticipate user behavior, market trends, and product demand.
- Identify opportunities for automation in data collection, analysis, and reporting to streamline product analytics processes.
About you
- 3+ years of experience in data analysis or product analytics, preferably in fintech or a related industry.
- Proficiency in SQL, Python, or R, with strong skills in extracting, cleaning, and manipulating large datasets from multiple sources.
- Experience with data visualization tools (e.g., Tableau, Power BI, or Looker) to create dashboards and reports for tracking product KPIs.
- Excellent communication and storytelling skills, with the ability to present complex data insights clearly and effectively to both technical and non-technical stakeholders.
- Ability to manage and prioritize multiple tasks and projects within the same domain while ensuring timely and accurate completion.
- Bachelor’s degree in Industrial Engineering, Statistics, Economics, or a related field, or equivalent work experience in data analysis and product analytics.
Our tech teams are the engine behind our business. Tipalti’s tech ecosystem is extremely rich and we continually add new features to our products, ensuring that we respond to our clients’ needs at scale. Our tech teams retain a fast-paced, start-up vibe that encourages innovation and critical thinking. At Tipalti, you’ll have the opportunity to work with a diverse, global team of engineers, developers and product leaders who are collectively building the future of our best-in-class product suite as we transform financial operations for the future.
#LI-TH1
Interested in learning more about us?
Tipalti is the only company handling both global partner payments and accounts payable workflows for high-velocity companies across the entire financial operations cycle: onboarding and managing global suppliers, instituting procurement controls, streamlining invoice processing and approvals, executing payments around the world, and reconciling payables data across a multi-subsidiary finance organization. Tipalti enables companies to scale quickly by making payables strategic with operational, compliance, and financial controls. Through Tipalti, our clients can efficiently and securely pay thousands of partners and suppliers in 196 countries within minutes.
Tipalti is fueled by a commitment to our customers and a desire to build lasting connections. Our client portfolio includes high-velocity businesses such as Amazon Twitch, GoDaddy, Roku, WordPress.com, and ZipRecruiter. We work hard for our 98% customer retention rate which is built on trust, reliability and innovation. Tipalti means we handled it" - a mission to which we are constantly committed.
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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: A/B testing Data analysis Data quality Data visualization Economics Engineering Finance FinTech Industrial KPIs Looker Power BI Predictive modeling Privacy Python R SQL Statistics Tableau Testing
Perks/benefits: Career development Competitive pay Startup environment
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