we are seeking for an experienced Analyst, looking to develop in the business and product trajectories, to join its unique Data Products Group.
We are looking for someone who has a diverse skill set, similar to that of an experienced Data Engineer, possessing robust analytical and technical skills.
The ideal candidate would encompass proficiency in data infrastructure, data modeling, end-to-end project management, and data visualization. To that end, proficiency in Python, SQL, and experience in using BI tools and comprehensive data solutions are key.
In this role, you'll build, own and serve as teams focal point for the following:
Translate internal briefs and strategic goals into technical projects, diving into data to hack structure, potential and optimize these – given the required business goals.
Creatively utilize and analyze data from multiple large-scale data warehouses.
Establish and own monitoring, reporting and alerting on the performance of data from its onboarding, through utilization, and to the business performance, on it.
Lead end-to-end projects, taking ownership from report requirements to execution.
Work closely with R&D, namely Data Engineers and Data Science teams, as well as Data Partners outside of Siimlarweb, to ensure optimal solutions in terms of logic and infrastructure.
Translate business needs into clear and detailed technical specifications, providing guidance for R&D teams, and using their feedback to inform Data Products design.
We are looking for someone who has a diverse skill set, similar to that of an experienced Data Engineer, possessing robust analytical and technical skills.
The ideal candidate would encompass proficiency in data infrastructure, data modeling, end-to-end project management, and data visualization. To that end, proficiency in Python, SQL, and experience in using BI tools and comprehensive data solutions are key.
In this role, you'll build, own and serve as teams focal point for the following:
Translate internal briefs and strategic goals into technical projects, diving into data to hack structure, potential and optimize these – given the required business goals.
Creatively utilize and analyze data from multiple large-scale data warehouses.
Establish and own monitoring, reporting and alerting on the performance of data from its onboarding, through utilization, and to the business performance, on it.
Lead end-to-end projects, taking ownership from report requirements to execution.
Work closely with R&D, namely Data Engineers and Data Science teams, as well as Data Partners outside of Siimlarweb, to ensure optimal solutions in terms of logic and infrastructure.
Translate business needs into clear and detailed technical specifications, providing guidance for R&D teams, and using their feedback to inform Data Products design.
Requirements:
Education and Experience:
4+ years of relevant experience as a Data Engineer or a hyper technical Analyst, in a data company – A MUST.
A bachelor's degree emphasizing statistical and analytical skills. M.Sc, MA, MBA is an advantage.
SQL and Python expertise is essential.
Meaningful experience in BI Visualization Platforms (Looker/Power BI, etc.)
You will fit right in if you find yourself enthusiastically nodding in agreement while reading the following:
Quick learner with a proactive/can-do attitude and high attention to detail.
Ability to work in a fast-paced environment, adapting to constant change.
Proven problem-solving expertise, adept at extracting meaningful insights from intricate datasets. A proven analytical mindset
Effective communication skills, capable of distilling concise bottom lines, providing context, and creating compelling visualizations.
Team player with strong interpersonal and relationship-building skills.
Able to work independently and collaboratively, thriving in diverse cross-functional collaborations, inspiring trust, and building successful partnerships and processes.
Experience querying large, complex datasets – to extract value, and optimize structure and potential.
Robust skills in data manipulation, statistical analysis, and data visualizations.
Exceptional analytical and technical proficiency, demonstrating ownership across the entire data flow, from problem definition and data collection to modeling, analysis, and reporting.
Education and Experience:
4+ years of relevant experience as a Data Engineer or a hyper technical Analyst, in a data company – A MUST.
A bachelor's degree emphasizing statistical and analytical skills. M.Sc, MA, MBA is an advantage.
SQL and Python expertise is essential.
Meaningful experience in BI Visualization Platforms (Looker/Power BI, etc.)
You will fit right in if you find yourself enthusiastically nodding in agreement while reading the following:
Quick learner with a proactive/can-do attitude and high attention to detail.
Ability to work in a fast-paced environment, adapting to constant change.
Proven problem-solving expertise, adept at extracting meaningful insights from intricate datasets. A proven analytical mindset
Effective communication skills, capable of distilling concise bottom lines, providing context, and creating compelling visualizations.
Team player with strong interpersonal and relationship-building skills.
Able to work independently and collaboratively, thriving in diverse cross-functional collaborations, inspiring trust, and building successful partnerships and processes.
Experience querying large, complex datasets – to extract value, and optimize structure and potential.
Robust skills in data manipulation, statistical analysis, and data visualizations.
Exceptional analytical and technical proficiency, demonstrating ownership across the entire data flow, from problem definition and data collection to modeling, analysis, and reporting.
This position is open to all candidates.
