דרושים » הנדסה » Data Integration Analyst

As a Data Engineer, you will play a pivotal role in shaping our evolving data culture. You will be responsible for collecting, organizing, and analyzing data to provide valuable insights that drive informed decision-making across the organization.
This is an opportunity to join a dynamic team and contribute to the development of data-driven solutions that drive business growth and innovation. If you are passionate about data and thrive in a collaborative environment, we encourage you to apply.
Responsibilities:
Collect and gather data from various sources, both internal and external.
Organize and clean datasets to ensure accuracy and reliability.
Utilize appropriate tools and software to analyze and visualize data effectively.
Collaborate with cross-functional teams to identify data needs and requirements.
Develop and implement data collection strategies to support business objectives.
Interpret data and provide insights to inform decision-making processes.
Create reports and presentations to communicate findings and recommendations.
Assist in the development of data-driven solutions to address business challenges.
Stay updated on industry trends and best practices in data analysis.

We are looking for a Mid-Level Data Analyst.
As a Data Analyst Real Estate, you will harness the power of data to drive strategic decision-making and help redefine the landscape of real estate technology. You will collaborate with cross-functional teams to develop insights that influence our product offerings and operational efficiencies.
:Responsibilities
Data Validation: Oversee the validation of both incoming data and output generated by the team to ensure accuracy and reliability in all data sets and analytics outputs and maintain high standards for data quality and integrity.
Internal Data Flow Optimization: Partner with your data team to enhance the internal flow of data. Focus on streamlining processes to ensure efficient data access and utilization across the company.
Collaborate with Cross-Functional Teams: Work with multiple teams and provide them with the needed data to drive decision-making processes.

We are seeking a Data Engineer & Analyst specializing in Financial Systems and Data.
The role includes analysing system, financial, and structural data, designing specifications for automated tools, and executing their implementation.
We are looking for professionals with corporate finance expertise, an entrepreneurial mindset, and innovative thinking to enhance decision-making processes.
Responsibilities:
Perform primary and backup financial and structural data analysis, responding to client inquiries on regulation, automation, and data processing
Support the development of advanced analytical techniques, including constructing and testing statistical models for analyzing data trends, banking structure changes' effects, and enhancing structural data quality
Aid in developing business rules and report/application formats for programmers
Oversee new series and report changes, contribute to technical development, and prepare system software change requirements
Make data quality and edit resolution decisions, prepare statistical reports, and provide guidance on automation and data analysis
Provide guidance on series processing and structural data issues, including automation, editing procedures, and data analysis, ensuring unit meets all administrative and internal processing deadlines
Assist in documentation preparation and testing per System Development Methodology (SDM) requirements. Provide technical and data content support to users of system software and data.

We are a global leader of iLottery solutions and services to national and state-regulated lotteries.

We are part of the Group, an iGaming powerhouse with 1100 employees spread across 8 countries.

we pride ourselves on our People first culture. Not only has it been a core value in our organization for as long as we can remember but it also runs in our DNA and is felt in every aspect of our operations.

The Core Product department owns the groups product strategy and is looking for a Data Product Manager to be part of data product team and coordinate the development of the data products spanning the central data lake, modern reporting & analytical tools, and automation.

The chosen candidate needs to be passionate about designing robust data-driven products to deliver insightful analytics and digitalization for efficient processes across the group and its customers.
What You'll Do
Responsibilities: Be a Data expert and have a deep understanding of how the data works; data producers, ELT/ETL process, data consumers, data quality, data architecture, analytics, machine learning, and cloud services.
Leading the entire Data product lifecycle: product roadmap, maintain frequent communication with different clients to understand business needs and translate these to PRDs, Features and User Stories, Interface with data engineers and QA, finalize the delivery and launch of innovative products.
Work closely with the rest of the product organizations on new initiatives to facilitate the requirement gathering process early on.
Contribute to the overall data architecture, including the investigation of data assets, technical platforms, integrations, and processes across functions, documenting the knowledge gathered.
Be a hands-on product manager involved deeply in the day to day of the data engineering team.
Oversee implementation and release workflow and deadlines.
Responsible for the Agile framework (dailys, sprint planning, retrospective).
Work with Marketing to provide Data & BI platform awareness and guides - both internally and externally.

Required Product Analyst
As a 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.

We are looking for a talented data analyst to join our growing team.
As a data analyst, you will have the opportunity to make an impact on a fast-growing platform.

What is Spera? Modern organization employees are using hundreds of applications and

services - leading to an "identity jungle" with multiple risks. Spera provides security leaders with comprehensive, end-to-end contextual visibility of their identity landscape, helps to eliminate risk, improves operational efficiency, and facilitates compliance.

Spera is led by an exceptional team with a go-getter attitude and a passion for pushing the boundaries of whats possible. Were always looking for remarkable candidates to join our vision and take an active role in building the future of identity security as part of the biggest identity player in the world, If you are curious, creative, and get things done - come aboard!

What Youll Do:
Take an integral part in Speras data analysis area.
Work closely with the business side and customers and enhance Speras value to new and existing customers.
Help win deals and accelerate the sale process.
Work closely with product and R&D teams.
Solve complex product challenges from the data perspective, define research goals, identify anomalies and blind spots, and suggest possible solutions based on data.

We are looking for a Product Analyst who will take part in building innovative, unique products and services for our publishers.
In this role, you will lead the analytics of products in your domain of responsibility and proactively guide our business growth, based on data analysis and statistical research, to ensure development of successful products.
We currently work in a hybrid work model giving employees the flexibility to work from home a few days a week. We have offices in Ramat Gan and Beer Sheva and are looking to grow to additional locations such as Jerusalem, where our employees have the opportunity to meet their teammates, connect with other teams and socialize with friends.
What are some of the things you do on a day-to-day basis?
Define and analyze A/B tests to optimize product performance and understand user behavior
Take part in product-related decisions and identify opportunities for product improvements
Research and analyze large volume data sets in order to generate useful conclusions and actionable recommendations
Develop data models and dashboards as well as find creative solutions for a variety of challenges never dealt with before.
Become the focal point for all data related matters, own and manage multiple data initiatives and projects on an on-going and an ad-hoc basis.
Work closely with R&D and Product teams, understand objectives and create products that contribute to the companys goals.

an automated AI-based predictive analytics platform. It simplifies and accelerates the process of building and deploying predictive models in various business use-cases, such as life-time value, Churn, demand forecast and more. connects to the raw data and completely automates the data preparation, engineering and prepossessing phases, as well as the model training and evaluation lifecycle. It was acknowledged as one of Israel's 50 most promising startups two years in a row.

Company Highlights:
Series C company with over $117M raised to date. Tier-1 investors: Google Ventures (GV), Insight Partners, GGV, Dell Ventures, Mindset and S Capital.
90+ employees and growing very quickly
HQ in Tel Aviv with growing sales and marketing organization in the US
Customers across CPG, retail, healthcare, mobile apps, fintech, insurance, and consumer services. Marquee customers include Johnson & Johnson, Nestle, and SciPlay.
The Data Analyst is a part of the Customer Success team, which is responsible for all of our clients, starting from the POC stage and through deployment in production environments. The CS team assists our clients in the design, planning, and implementation of predictive analytics programs. We are looking for an enthusiastic and client-focused data analyst.

What You'll Do

As a data analyst, you will work at the forefront of the data world, by creating and optimizing predictive models and assisting our clients to use those predictions to affect their business and generate value.

Together with the team, you will be continuously helping our clients achieve their business goals and reinforce the value. You'll assist in covering data and technical aspects of integrating clients systems with our predictive analytics platform.

Typical tasks of the position are:

Collaborate with the clients business stakeholders, gather technical requirements, and understand the need for predictive models.
Analyze large volume of data sets using different coding languages as SQL and Python.
Analyze the models outputs and explain complex concepts in simple words.
Collaborate with clients teams and translate business needs to data solutions.
Be the data and technical point of contact for our clients, and understand their needs.
Develop tools and data research to improve the quality of predictions.

We are growing and are looking for future workers who value personal and career growth, team-work, and winning!

As part of our rapid growth we are looking for a Product Analyst to join the data group in our product department.

What your day will look like:
Collaborate with members of the Product, Engineering and Data teams to improve business decisions using data, identify process improvement opportunities.
Assist the product team in improving presented value, propose system modifications, and devise data governance strategies.
Initiate analyses and generate reports to assist with feature tracking, experiments, and product/platform health monitoring.
Extract and analyze data coming from our product, using different data platforms and tools (Snowflake, Python, etc.).
From your analysis, generate content and configurations that would then be loaded into our production engines to deliver improved customer value.
Present key findings to stakeholders across the company in order to drive business and product decisions.
Explore new and unmapped data domains that can push our product and customer value forward.
Become the focal point for all data related matters in your projects, own and manage multiple data projects on an on-going and an ad-hoc basis.
Develop automated solutions to collect and extract data from external sources to accelerate manual operations.

We are looking for a brilliant, quick-learner Data Engineer for our data engineering team - an independent logical thinker who understands the importance of data structuring for macro-business decisions.
The position combines high technical skills with business orientation, working closely with the analysts and the R&D team, and affecting the company's cross-departments decisions directly. Our Data Engineer should have the ability to speak in technical and practical terms, and more importantly, lead from one to the other, while dealing with challenges and creating them - to make our team even better than it is.
Roles and Responsibilities:
Creating and structuring end-to-end data pipelines & ETLs: from the source all the way to the analysts hands, enabling them the ideal conditions to make smart and data driven business decisions.
Cracking top industry data challenges while initiating and building creative technical solutions - in house Device Graph, Server-to-Server to multiple systems, Privacy challenges, Online-to-Offline and more.
Deep understanding of the business needs, technical requirements and the companys roadmap - and translating it into custom made data solutions and scalable products.
Craft code following best practices to ensure efficiency, while integrating CI/CD principles.
Writing multi-step scalable processes from more than 50 data sources - Marketing. Operations, CS, Product, CRM and more... tying them up to a valuable & useful source of insights for the analysts.
Understanding data challenges and weaknesses, and managing high standards monitoring and reliability processes.