About the role
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