מציאת משרת הייטק בחברות הטובות ביותר מעולם לא הייתה קלה יותר
As a member of our team, you'll use Scrum to manage your day-to-day workload and will talk with team members around the world on a daily basis. You'll build sustainable, scalable and automated reports that help the organization act on information rather than just data. You will work closely with operations leaders, product managers, SDEs, TPMs, data engineers, and senior management to define new metrics and project requirements which you will then take and create something bigger and better together!In addition to these core responsibilities, you will also manage and execute analytical projects from start to finish including data gathering, manipulation, modeling, problem solving, and communication of insights and recommendations to senior management.· Ability to look at things in a holistic way.
· Decision making skills (based on realism and sound processes with an underpinning of precision, accuracy, and detail).
· Researching capabilities or “walking dictionary” tendencies.
· Orientation to lean towards creating mechanism by analyzing gaps
· Organization and deep knowledge inputs.
Key job responsibilities- Writing high quality SQL codes to retrieve and analyze data and experience working with large data sets through automated data extraction and dashboards- Develop clear communications for recommended actions both verbally and in writing.- Identify and mitigate risks (before they become roadblocks)
- 1+ years of tax, finance or a related analytical field experience
- Experience defining requirements and using data and metrics to draw business insights
- Bachelor's degree or equivalent
- Experience with SQL or ETL
- The ability to break down complex problems, gather data, and provide meaningful insights.
- Experience with ad-hoc data pulls and dash boarding via SQL or scripting.
- Collecting, documenting, and validating requirements from stakeholders.
- Making reports with Excel and creating basic macros
- Knowledge of Statistical and visualization techniques
- Data Analysis to identify trends and patterns.
- Understanding project management methodologies and principles.
- Effective written and verbal communication to convey information to both technical and non-technical audiences.
- Experience demonstrating problem solving and root cause analysis
- Experience using very large datasets
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