Description review
Data & BI Analyst (Freelancer)
Tectu · Israel · back to the listing
HR standards
52/100
needs work
Title ↔ description
78/100
solid
Reads as
Data Analyst
100% confident
What this role officially is
data analyst — ESCO, the EU occupation classification
Data analysts import, inspect, clean, transform, validate, model, or interpret collections of data with regard to the business goals of the company. They ensure that the data sources and repositories provide consistent and reliable data. Data analysts use different algorithms and IT tools as demanded by the situation and the current data. They might prepare reports in the form of visualisations such as graphs, charts, and dashboards.
Also known as: data warehousing analyst, data analysts, data warehouse analyst, data storage analyst
How others title the same work
Large employers
- Operations Insights, Tax Stripe
Startups
- Senior Data Analyst Camber
- Senior Data Analyst Confido
What the listing never says
- 34 bullet points. Long requirement lists deter qualified candidates, who read them as hard gates. Scope clarity
- No pay range published. Candidates cannot tell whether applying is worth their time. Pay transparency
- No location or timezone policy stated, so a candidate cannot tell where they may work from. Scope clarity
The listing, marked up
Nothing in the wording of this listing tripped a check. The scores above still judge how complete and coherent it is.
At Tectu, you can make a real impact! As a Data & BI Analyst you will play a lead role in delivering data and business strategies, solutions and processes to support the data oriented projects. The ideal candidate is passionate about delivering cutting edge solutions to support the changing business needs and technology landscape. You will be working closely with others on our Product and Engineering teams to define and deliver these solutions.
If you are data obsessed, passionate about technology, self-motivated and a disciplined freelancer, we would love to speak with you. The ideal candidate has both a willingness and desire to work in a dynamic environment, is able to apply Agile methodologies in day-to-day activities, and who enjoys working both independently with little oversight and in a team environment.
Your Day at Tectu
At Tectu, we work with various customers, providing advanced tech solutions to solve different problems and needs. As a Data & BI analyst at Tectu, your day will most likely vary according to which projects youre involved in, but generally youll be performing the following activities:
• Identifying or diagnosing a problem to analyze
• Collecting appropriate data from various sources
• Cleaning and preparing the data for analysis
• Analyzing the data for insights, patterns, or trends
• Interpreting the results of the analysis with reports and dashboards
• Collaborating with stakeholders and presenting key findings
Responsibilities:
• Be an integral part of the team defining data strategy and capabilities roadmap for various customers
• Work closely with data engineers to effectively plan and build data engineering tools, data warehouses and data lakes
• Provide core contributions to multiple products, projects, solutions and processes through all stages of the development lifecycle
• Perform analysis to assess quality and meaning of data
• Use statistical tools to identify, analyze, and interpret patterns and trends in complex data sets that could be helpful for the diagnosis and prediction
• Use data visualization tools (e.g. Tableau, PowerBI, Looker, Qlik) to build dashboards and drive insights
• Analyze local, national, and global trends that impact both the organization and the industry
• Prepare reports for the management stating trends, patterns, and predictions using relevant data
Requirements
• 5+ years of experience as a Business Intelligence Analyst and Data Analyst
• 2+ years of experience in advanced analytic related multivariate and A/B testing, digital revenue attribution, cohort analysis, lifetime value analysis, media mix optimization, customer segmentation, and marketing effectiveness
• 3+ years of experience working with data visualization tools, such as Tableau, PowerBI, Looker, QlikSense, etc
• Strong mathematical skills to help collect, measure, organize and analyze data
• Strong analytical skills and SQL proficiency
• Technical proficiency regarding database / DWH design development, data models, techniques for data mining, and segmentation.
• Proficiency in statistics and statistical packages to be used for data set analysis
• Adept at using data processing platforms like Spark & Presto
• Knowledge of how to create and apply the most accurate algorithms to datasets in order to find solutions
• Accuracy and attention to detail
• Adept at queries, writing reports, and data visualization
Soft Skills
• Strong work ethic and strong core values (honesty, integrity, creativity)
• Sense of urgency, ownership mindset, and customer focus
• Innovative problem solver who takes initiative never stops thinking about ways to improve
• Ability to self-learn new skills and technologies
Advantage
• BSc in highly-quantitative field (Analytics, Computer Science, Industrial Eng, Mathematics, EE) is preferred
• Data driven mindset
• Able to create and communicate the 'big picture' in a clear way.
• Familiar with best practices of the data and software engineering lifecycle
• Knowledge of programming languages like Python, R, MATLAB, or other
Originally posted on Himalayas
If you are data obsessed, passionate about technology, self-motivated and a disciplined freelancer, we would love to speak with you. The ideal candidate has both a willingness and desire to work in a dynamic environment, is able to apply Agile methodologies in day-to-day activities, and who enjoys working both independently with little oversight and in a team environment.
Your Day at Tectu
At Tectu, we work with various customers, providing advanced tech solutions to solve different problems and needs. As a Data & BI analyst at Tectu, your day will most likely vary according to which projects youre involved in, but generally youll be performing the following activities:
• Identifying or diagnosing a problem to analyze
• Collecting appropriate data from various sources
• Cleaning and preparing the data for analysis
• Analyzing the data for insights, patterns, or trends
• Interpreting the results of the analysis with reports and dashboards
• Collaborating with stakeholders and presenting key findings
Responsibilities:
• Be an integral part of the team defining data strategy and capabilities roadmap for various customers
• Work closely with data engineers to effectively plan and build data engineering tools, data warehouses and data lakes
• Provide core contributions to multiple products, projects, solutions and processes through all stages of the development lifecycle
• Perform analysis to assess quality and meaning of data
• Use statistical tools to identify, analyze, and interpret patterns and trends in complex data sets that could be helpful for the diagnosis and prediction
• Use data visualization tools (e.g. Tableau, PowerBI, Looker, Qlik) to build dashboards and drive insights
• Analyze local, national, and global trends that impact both the organization and the industry
• Prepare reports for the management stating trends, patterns, and predictions using relevant data
Requirements
• 5+ years of experience as a Business Intelligence Analyst and Data Analyst
• 2+ years of experience in advanced analytic related multivariate and A/B testing, digital revenue attribution, cohort analysis, lifetime value analysis, media mix optimization, customer segmentation, and marketing effectiveness
• 3+ years of experience working with data visualization tools, such as Tableau, PowerBI, Looker, QlikSense, etc
• Strong mathematical skills to help collect, measure, organize and analyze data
• Strong analytical skills and SQL proficiency
• Technical proficiency regarding database / DWH design development, data models, techniques for data mining, and segmentation.
• Proficiency in statistics and statistical packages to be used for data set analysis
• Adept at using data processing platforms like Spark & Presto
• Knowledge of how to create and apply the most accurate algorithms to datasets in order to find solutions
• Accuracy and attention to detail
• Adept at queries, writing reports, and data visualization
Soft Skills
• Strong work ethic and strong core values (honesty, integrity, creativity)
• Sense of urgency, ownership mindset, and customer focus
• Innovative problem solver who takes initiative never stops thinking about ways to improve
• Ability to self-learn new skills and technologies
Advantage
• BSc in highly-quantitative field (Analytics, Computer Science, Industrial Eng, Mathematics, EE) is preferred
• Data driven mindset
• Able to create and communicate the 'big picture' in a clear way.
• Familiar with best practices of the data and software engineering lifecycle
• Knowledge of programming languages like Python, R, MATLAB, or other
Originally posted on Himalayas