דרושים » תוכנה » Data & Business Insights Developer 23993

Were seeking a Data Analyst to take a key role in unlocking the value of our vast datasets collected over years and across a diverse client base.

In this role, youll dive deep into data related to power line capacity and grid resilience, using advanced monitoring systems, weather data, and line ratings. Your work will directly influence how we optimize grid performance and respond to the challenges of todays energy landscape.

This role requires a combination of technical skills, analytical thinking, and business acumen. The ideal candidate is highly skilled in data analysis techniques and tools and has a strong ability to translate data insights into actionable recommendations.

Youll thrive here if you enjoy blending technical expertise, critical thinking, and business understanding to drive smarter, data-informed decisions.

The Data Analyst reports to the Prisma Power Product Director.

What Youll Do:
Collect and integrate data from various sources, including weather stations, Prisma sensor, line sensors, and SCADA systems.
Ensure data quality and consistency for accurate analysis and reporting.
Conduct statistical analysis and use data visualization tools to present findings.
Monitor and evaluate the performance of DLR systems and resilience detectors and identify opportunities for improvement.
Provide data-driven insights and recommendations to support decision-making processes.
Interpret and communicate results to stakeholders in a clear and concise manner.

We are looking for a Product Data Analyst specialist to join our growing Product Data Analyst team. This role is a unique opportunity for someone passionate about data to gain hands-on experience in a product-centric, data-driven environment.

Youll work closely with product managers, analysts, and engineers to help shape the way we measure, understand, and improve our products. This is an ideal position for someone at the beginning of their data career whos eager to learn, take ownership, and make an impact.

Responsibilities:
Detection Engine Ownership: Own and optimize key parts of CHEQs detection engine and database using analytical tools and best practices.
Cross-Departmental Collaboration: Work with Product, Engineering, Sales, Customer Success, and Security to deliver actionable data insights.
Product Support & Prototyping: Support product decisions through data exploration, insights, and prototypes for new features or tools.
Insight Discovery & Innovation: Analyze traffic and product data to identify trends, anomalies, and new product opportunities.
Internal Enablement Tools: Create internal services and dashboards to support field teams before features are fully productized.
Ad Hoc Analysis & QA: Investigate client issues, bugs, and QA concerns through on-demand analysis and validation.
Data Storytelling: Present insights clearly via dashboards, reports, and visualizations for diverse audiences.

we are the leader in Behavioral Biometrics, a technology that leverages machine learning to analyze an online users physical and cognitive digital behavior to protect individuals online. our companys mission is to unlock the power of behavior and deliver actionable insights to create a digital world where identity, trust, and ease coexist.Today, 34 of the world's largest 100 banks and 210 total financial institutions rely on our company Connect to combat fraud, facilitate digital transformation, and grow customer relationships.. our companys Client Innovation Board, an industry-led initiative including American Express, Barclays, Citi Ventures, and National Australia Bank, helps our company to identify creative and cutting-edge ways to leverage the unique attributes of behavior for fraud prevention. With over a decade of analyzing data, more than 80 registered patents, and unparalleled experience, our company continues to innovate to solve tomorrows problems.
Come work with intensely curious people dedicated to innovation, growth, and protecting customers against cybercrime and fraud!
Were seeking a hands-on, passionate BI Team Lead to join our fast-paced, data-driven environment. We'd love to meet you if youre excited about shaping how a company interacts with data and building impactful dashboards that drive decisions.
Description
Lead, grow, and mentor a team of BI engineers and platform specialists, driving a culture of high performance, collaboration, and continuous improvement.
Take full ownership of the data warehouse and BI layer, ensuring the data infrastructure is reliable, scalable, and supports all downstream use cases.
Solving problems and creating ETL pipelines using Python.
Model and maintain the data warehouse, including dimensional models and semantic layers that serve analysts and BI users across the company.
Act as the focal point for all dashboard creation efforts, collaborating with cross-functional teams (product, analytics, management and business stakeholders) to define and implement data visualization solutions.
Administer and manage the infrastructure of our BI tools (such as Looker, Tableau, Power BI, etc.), including user management, permissions, performance optimization, and integrations.

We are seeking a Data Analyst with strong business acumen to join our FinOps team. This role combines cloud cost analysis with a deep understanding of financial and business impact, aiming to support strategic decision-making, budgeting, and cloud cost optimization.
The ideal candidate will be able to connect financial data, system usage units, and customer pipeline activity to assess their impact on costs, margins, and profitability. Beyond technical skills, we are looking for someone who can translate data into business insights and deliver clear, actionable recommendations to leadership.What Youll Do Day to Day
Perform in-depth analysis of cloud costs and their impact on key busness KPIs.
Calculate and analyze Cost per Unit determining how much it costs to deliver one unit of a service or product.
Track customer pipeline activity (including onboarding, POCs, cross-sells, etc.) to assess its effect on cloud spend and overall margins.
Build and present executive-level reports and dashboards for leadership and FinOps teams to identify cost drivers and optimization opportunities.
Monitor specific cloud services and applications to detect cost anomalies or unexpected increases, presenting findings with actionable recommendations.
Partner closely with Finance, Business, and R&D stakeholders to link financial outcomes with operational data and support data-driven investment decisions.

we are seeking a strategic and data-driven Business Data Analyst to join our team!
In this role, you will play a key part in analyzing business performance, customer acquisition, and go-to-market strategies.
You will explore various data sources, develop key performance metrics, and identify opportunities to optimize our market penetration and customer engagement initiatives. Your insights will support strategic decision-making and help drive growth across marketing functions.
You will leverage your analytical expertise to deliver actionable insights that influence our business strategies and performance.
Responsibilities:
Develop a deep understanding of data models related to customer acquisition, marketing funnel, new products launches, revenue, and overall business performance.
Design and implement new data models, KPIs, and predictive analytics to support go-to-market and strategic initiatives.
Build, maintain, and monitor reports, dashboards, and metrics to track business health and growth targets.
Analyze data to identify trends, opportunities, and risks across customer segments and market channels.
Communicate insights and strategic recommendations to executive leadership and cross-functional teams.
Collaborate with stakeholders to align data initiatives with business objectives and become a trusted analytics partner.

Together with our customers, were helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential.

Title and Summary
Product Data Analyst (10 months replacement for maternity leave)
Overview
This is a 10-month temporary contract
Were looking for a Product Data Analyst to join the team at Dynamic Yield by and play a critical role in shaping our product through data-driven insights. In this role, youll collaborate closely with product managers, engineers, designers, Customer Success, and other cross-functional stakeholders to understand how customers interact with our product and how we can continuously improve their experience.
You will take ownership of data for key product domains,, establishing meaningful success metrics, analyzing feature adoption and performance, and delivering insights that directly influence the product roadmap.
Your work will empower smarter product decisions and help deliver tangible value to our clients. This role offers a unique chance to influence the evolution of a leading experience optimization platform, empowering some of the worlds top brands to deliver personalized, data-informed digital experiences at scale.

Role
Work closely with product managers to define and refine KPIs and success metrics that align with product goals. You'll support planning, feature evaluation, and post-launch performance assessments to ensure product decisions are data-driven and measurable
Collaborate with team members to collect business requirements, define successful analytics outcomes, and design data models
Analyze user behavior and product usage patterns using quantitative methods to identify pain points, usage trends, and feature adoption
Build and maintain dashboards and reports that empower product and business stakeholders with timely, actionable insights. Youll ensure key metrics are easily accessible and accurately reflect performance across initiatives.
Contribute to the development and maintenance of data models and assist in maintaining scalable, trustworthy ELT pipelines. Youll help shape the underlying data layer that powers analytics across the product and business.

Monitor KPIs and drive continuous efficiency improvements

We are looking a highly skilled and motivated Senior Data Engineer to join our dynamic team.
The ideal candidate will be a great team player that can lead and also be responsible for designing, developing, and maintaining robust data pipelines and analytical solutions to support our business objectives.
This role requires a blend of engineering and analytical skills to ensure data integrity, optimize data workflows, and provide actionable insights.
This role requires a deep understanding of financial data, system integration, and analytics to support strategic decision-making and regulatory compliance.
Your Day-to-Day:
Design, develop, and maintain scalable data pipelines and ETL processes.
Collaborate with product, analysts, and other stakeholders to understand data requirements and translate business needs into technical requirements.
Ensure data quality and integrity across various data sources.
Develop, maintain and own data models, schemas, and documentation.
Optimize database performance and troubleshoot issues.
Stay updated with the latest industry trends and best practices in data engineering and analytics.

For many of us theres that one podcast we never miss, and video content is part of our daily routine, whether its professional or personal.
But how many of us truly understand the effort that goes on behind the scenes? Here we know it well. Thats exactly why we built an AI-powered platform that helps content creators, podcasters, marketeers, and more at major brands like Netflix, Disney, Google, and Microsoft to create high-quality content with ease. Our technology streamlines the entire content creation process, turning ideas into professional-grade content with the highest production standards, without requiring expensive equipment or external services. The secret? AI-driven tools that replace traditional production roles like editing, directing, and design, automating the entire process at the click of a button.
About the data Team:
Our data & Analytics team believes theres a better way to make data useful than just creating endless dashboards. We focus on in-depth analysis and building scalable, trustworthy data solutions that help every team make faster, smarter decisions. From analytics and business intelligence to data pipelines and predictive models, we turn raw information into real impact. If youre passionate about finding radical new ways to leverage data, youll fit right in.
 
On your day to day Were looking for a RevOps Analyst who is proactive, curious, entrepreneurial, and passionate about driving sustainable revenue growth. You will have a direct impact on aligning the companys revenue teams, and become a partner in optimizing the entire B2B revenue engine. You will collaborate closely with C -level, using your analytical skills and business understanding to uncover inefficiencies and opportunities that accelerate growth across the customer lifecycle.
* Proactively identify cross-functional growth and optimization opportunities that Sales, and CSM teams can quickly act upon.
* Lead projects such as pricing optimization, activation funnel analysis, go-to-market strategy, and deriving insights from our current customer base.
* Define and track input and output metrics across the revenue organization to measure performance and drive accountability.
* Build scalable data products and processes that support B2B revenue operations from the ground up.
 
Bottom line? If you wanna take part in transforming how people and businesses share their stories globally, this is your place. The work is challenging, the culture is fast-paced, and the people are exceptionally brilliant. And if thats not enough, we guarantee that your ideas will genuinely make an impact.

Were looking for a Product Data Analyst to join the team and play a critical role in shaping our product through data-driven insights. In this role, youll collaborate closely with product managers, engineers, designers, Customer Success, and other cross-functional stakeholders to understand how customers interact with our product and how we can continuously improve their experience.
You will take ownership of data for key product domains,, establishing meaningful success metrics, analyzing feature adoption and performance, and delivering insights that directly influence the product roadmap.
Your work will empower smarter product decisions and help deliver tangible value to our clients. This role offers a unique chance to influence the evolution of a leading experience optimization platform, empowering some of the worlds top brands to deliver personalized, data-informed digital experiences at scale.
This is a 10-month temporary contract
Role:
Work closely with product managers to define and refine KPIs and success metrics that align with product goals. You'll support planning, feature evaluation, and post-launch performance assessments to ensure product decisions are data-driven and measurable
Collaborate with team members to collect business requirements, define successful analytics outcomes, and design data models
Analyze user behavior and product usage patterns using quantitative methods to identify pain points, usage trends, and feature adoption
Build and maintain dashboards and reports that empower product and business stakeholders with timely, actionable insights. Youll ensure key metrics are easily accessible and accurately reflect performance across initiatives.
Contribute to the development and maintenance of data models and assist in maintaining scalable, trustworthy ELT pipelines. Youll help shape the underlying data layer that powers analytics across the product and business.
Monitor KPIs and drive continuous efficiency improvements.

We are looking for a Senior Data Engineer.
As a Senior Data Engineer, youll be more than just a coder - youll be the architect of our data ecosystem. Were looking for someone who can design scalable, future-proof data pipelines and connect the dots between DevOps, backend engineers, data scientists, and analysts.
Youll lead the design, build, and optimization of our data infrastructure, from real-time ingestion to supporting machine learning operations. Every choice you make will be data-driven and cost-conscious, ensuring efficiency and impact across the company.
Beyond engineering, youll be a strategic partner and problem-solver, sometimes diving into advanced analysis or data science tasks. Your work will directly shape how we deliver innovative solutions and support our growth at scale.
Responsibilities:
Design and Build Data Pipelines: Architect, build, and maintain our end-to-end data pipeline infrastructure to ensure it is scalable, reliable, and efficient.
Optimize Data Infrastructure: Manage and improve the performance and cost-effectiveness of our data systems, with a specific focus on optimizing pipelines and usage within our Snowflake data warehouse. This includes implementing FinOps best practices to monitor, analyze, and control our data-related cloud costs.
Enable Machine Learning Operations (MLOps): Develop the foundational infrastructure to streamline the deployment, management, and monitoring of our machine learning models.
Support Data Quality: Optimize ETL processes to handle large volumes of data while ensuring data quality and integrity across all our data sources.
Collaborate and Support: Work closely with data analysts and data scientists to support complex analysis, build robust data models, and contribute to the development of data governance policies.