Senior Product Analyst - Sisense

As a Senior Product Data Analyst, you'll play a crucial role in shaping our product roadmap. We're looking for a passionate analyst who is comfortable with analytics, someone who understands how to use large data sets to solve real-world business problems. Someone who thrives on providing technical expertise to quickly deliver insights to the business. We view this role as a trusted advisor to our internal business partners to help them make decisions around strategy, priorities, and tactics.

This will involve:

Collaborating closely with multiple cross-functional teams including product managers, data engineers, business intelligence analysts, product engineering, product marketing and strategy.
Recommending and executing analytics projects - ranging from exploratory data analysis, descriptive statistical methods, experimentation, multi-variate testing and conducting user research.
Ensuring our product feature instrumentation is aligned towards company and product goals, is aligned to best practices and data governance standards.
Quantifying and easily communicating the drivers of business performance to senior leaders. Advising them on ways to change outcomes through recommended calls-to-action, operational and strategic changes.

WHY YOU SHOULD JOIN OUR TEAM:

Our team's mission is to be the source of actionable strategic intelligence for Sisense. The team partners with business leaders and users to add value through data, make data-informed decisions, discover insights, and share knowledge. Our company and product are focused around serving you. Being on the data team means you get early access to cutting edge technology & are a north star for the data teams.

WHAT YOU’LL DO?

Own the delivery for ad-hoc and strategic analytics projects driving company-wide outcomes to increase product engagement and adoption, drive revenue growth, reduce churn, improve the customer experience and optimize customer acquisition strategies.
Prepare data sets in support of analysis. Prepare and publish results of analysis. Easily communicate complex topics in simple terms to executive and senior leadership.
Serve as an expert technical resource for our internal business partners. Guide our business partners towards the right analytics solutions for their complex business questions. Work with internal business partners to consult and deliver on all ad-hoc data and analytics requests.
Constantly be on the lookout for ways to improve efficiency and deliver increasing value to the organization. Collaborate with leadership and end users to identify needs and opportunities for the application of analytics use cases to their business.

Qualifications:

Education: Bachelor’s degree in Applied Mathematics, Social Sciences, Information Systems, or related field. Advanced degree or relevant certifications preferred.
Experience: Minimum of 5 years of experience in business analysis, data analysis, or related fields. Experience in the software industry or SaaS environment is highly desirable.
Analytical Skills: Strong analytical and problem-solving skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
Technical Proficiency: Proficient in SQL, Excel, and data visualization techniques. Experience with cloud data technology, database querying and data modeling techniques.
Business Acumen: Deep understanding of business processes, product growth, adoption and marketing strategies.
Communication Skills: Excellent verbal and written communication skills with the ability to effectively communicate complex ideas and findings to both technical and non-technical stakeholders. Comfortable engaging with senior leadership and providing data-driven recommendations.
Collaboration: Proven track record of collaborating with cross-functional teams including developers, product managers, and business stakeholders to drive successful project outcomes.
Adaptability: Ability to thrive in a fast-paced, dynamic environment with shifting priorities and tight deadlines. Flexibility to adapt to changes and willingness to learn new technologies and methodologies.
Problem-Solving: Demonstrated ability to identify, analyze, and solve complex business problems using data-driven insights and methodologies such as root cause analysis and process improvement techniques.
Project Management: Experience with project management methodologies (e.g., Agile, Scrum) and tools (e.g., JIRA) to effectively manage project timelines, resources, and deliverables.
Attention to Detail: Meticulous attention to detail and commitment to delivering high-quality work products, reports, and presentations.
Strategic Thinking: Ability to think strategically and anticipate future business needs, trends, and opportunities. Proactive approach to identifying and implementing innovative solutions.

HOW YOU'LL RAMP:

By Day 30

Learn the fundamentals of the business — our business critical dashboards, basic KPIs, workflows, and business systems and data structures
Get to know other stakeholders in Product, GTM, Finance and Business Operations
Start to explore the first strategic use case and develop an initial set of analytics capabilities

By Day 60

You’ll have begun to integrate your findings into systems, BI solutions, critical business workflows, etc.
Be familiar with our current data warehouse and data models, know where to find business critical data and provide requirements to the product and data engineering teams.
Lead regular meetings with your manager and business stakeholders to provide updates on the analytics roadmap.

By Day 90

Reach a high level of proficiency with the Sisense data architecture and analytics platforms.
Identify opportunities and make recommendations for strategic analytics use cases, creating requirements for the engineering team and developing automated solutions to operationalize your analytics.
Begin executing on a plan for delivering a roadmap of strategic analytics to the business in 2024, working increasingly more independently in partnership with key business stakeholders.

WHAT YOU'VE ACCOMPLISHED...SO FAR:

You have worked as a product analyst in a SaaS, start-up or tech company and are familiar with the affiliated tech stack - Amplitude, Snowflake and dbt.
You have superior analytical, critical thinking, and troubleshooting skills with a passion for digging deeper and proactively discovering root causes
You have the ability to forge strong relationships with business partners at all levels of the organization.
You have demonstrated an ability to understand business drivers, collaborate with leaders, and diagnose business problems that can be addressed through data and analytics.
You are flexible, adaptable, and able to learn on the fly. You thrive in a fast-paced, ever-changing work environment.
You work with a high sense of urgency and rigorous attention to detail.
You have excellent oral and written communication skills.
You have a high level of proficiency with BI tools, SQL, data modeling, data visualization, statistical analysis. You are comfortable with R or Python for statistical analysis.

Qualifications

Education: Bachelor’s degree in Applied Mathematics, Social Sciences, Information Systems, or related field. Advanced degree or relevant certifications preferred.
Experience: Minimum of 3-5 years of experience in business analysis, data analysis, or related fields. Experience in the software industry or SaaS environment is highly desirable.
Analytical Skills: Strong analytical and problem-solving skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
Technical Proficiency: Proficient in SQL, Excel, and data visualization techniques. Experience with cloud data technology, database querying and data modeling techniques.
Business Acumen: Deep understanding of business processes, product growth, adoption and marketing strategies.
Communication Skills: Excellent verbal and written communication skills with the ability to effectively communicate complex ideas and findings to both technical and non-technical stakeholders. Comfortable engaging with senior leadership and providing data-driven recommendations.
Collaboration: Proven track record of collaborating with cross-functional teams including developers, product managers, and business stakeholders to drive successful project outcomes.
Adaptability: Ability to thrive in a fast-paced, dynamic environment with shifting priorities and tight deadlines. Flexibility to adapt to changes and willingness to learn new technologies and methodologies.
Problem-Solving: Demonstrated ability to identify, analyze, and solve complex business problems using data-driven insights and methodologies such as root cause analysis and process improvement techniques.
Project Management: Experience with project management methodologies (e.g., Agile, Scrum) and tools (e.g., JIRA) to effectively manage project timelines, resources, and deliverables.
Attention to Detail: Meticulous attention to detail and commitment to delivering high-quality work products, reports, and presentations.
Strategic Thinking: Ability to think strategically and anticipate future business needs, trends, and opportunities. Proactive approach to identifying and implementing innovative solutions.

ABOUT SISENSE

We are a radically innovative BI company focused on redefining every aspect of business analytics. We’re an industry leader with more than 2,000 global customers, including Expedia, Flexport, Nasdaq, GE, Philips & Tinder. We’ve been recognized as a leading visionary in Gartner’s Magic Quadrant for Analytics and Business Intelligence. We’re onboarding rapidly!

We have over 600 employees with offices in San Francisco, New York, Tel Aviv, Scottsdale, Melbourne, Tokyo, London and Kyiv. We believe strongly in a data-driven approach to all that we do. We're constantly measuring and optimizing everything about the business. We’ve been recognized by Comparably, Glassdoor and Best Places to Work for our amazing company culture.

Last updated: 21 hours ago

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