Business Intelligence

6 months ago

Bengaluru, India DeleteMe Full time

About
**DeleteMe**, The Online Privacy Company
**DeleteMe** is the online privacy company that makes easy-to-use tools for consumers and businesses to control what personal information companies, third parties, and other people see about them online.

**DeleteMe** is a rapidly growing SaaS privacy business operating globally and remotely / WFH - we are the emerging leader based on # customers and $ revenues in a fast-growing nascent category of consumer and enterprise security Privacy Services. What we do - our mission - matters because we are restoring a sense of privacy, fairness, and control of personal data in the possession of others. Easier, simpler control underpinned by a suite of new data privacy laws being passed worldwide will play a part in greater personal security, freedom and in stronger democracies in an era where data collection is at unprecedented levels. This is what our work and brand stand for, and we are building a large, sustainable, for-profit business to catalyze this. We have strong B2C and B2B businesses with respective product offerings informed by feedback from an active customer base growing between 30% and 200% year/year. DeleteMe is well-capitalized: profitable for the last three years with an 8-figure balance sheet and large-scale venture firms as investors.

**DeleteMe** is led by a passionate team, backed by premier investment firms, and supercharged by a strong mission to empower consumers with privacy.

**Job Summary**

**Responsibilities**

Takes responsibility for analysis, solution design, and architecture of complete business intelligence lifecycle (reporting, dashboards, data integration, data warehouse, data mart, and information delivery)Improve data collection and storage practices to enhance the value of our internal pipelines and data flowsInterview business users and document data reporting and analysis requirements, develop ELT, data models, and dashboardsDesign and implement a strategy and systems for data analysis, reporting, querying, and visualization to enable internal and external partners to explore our data via self-service, answer their questions, and make informed decisionsIdentifies components of business intelligence logical architecture strategy and defines their relationship to the mission of the business intelligence organizationMentors technical team leads and engineers in business intelligence-related architectural issues and best practicesTakes responsibility for business intelligence and data warehouse blueprints and integrating systemsImplements a self-service business intelligence strategyEvaluates existing and emerging technologies and provides recommendations on integration within systems and best practicesTranslates business needs into a long-term information architecture solutionDefines designs and builds dimensional business intelligence for dimensional conformityIdentifies data quality initiatives to rid the system of old, unused, or duplicate dataRenews object and data models and metadata reporting to structure data for better management and quicker accessManages a working relationship with other analysts, teams, and managers, collaborating on department and project goals and objectivesWorks with outside vendors as relates to business intelligence technologies

**Requirements**:
We’re looking for someone with 5+ years of proven working experience in data architecture /warehousing, data analysis, data modeling, and reporting for a SaaS company, who wants to be part of our team and achieve big things, who believes in privacy as a mission, and who can both operate independently and help a team be more than the sum of its parts.
- Hands-on experience with data platform migration, data architecting, data mining, large-scale data modeling, and business requirements gathering/analysis - Business to Business, Business to Consumer, and SaaS business models.
- Hands-on knowledge of enterprise repository tools, data modeling tools, data mapping tools, and data profiling tools
- Excellent written and verbal communication skills
- Experience with database design and implementation
- Experience with gathering and document reporting requirements, with data reporting and visualization tools
- Experience with appropriate programming languages and technologies
- Experience with data modeling, e.g., denormalization, star schema, snowflake, building data pipelines and data models
- Experience with data architecture, e.g., data warehousing, operational data store, data marts, staging
- Experience with CI/CD pipelines, automation tools, and deployment scripts
- Experience in working with Agile and Lean methodologies

**Preferred experience with**
- Any SQL DB as a primary data source; NoSQL is a plus
- Fivetran, Snowflake, DBT, High-touch
- Apache Superset, Tableau, or a similar interactive data visualization software
- Basic familiarity with the Python language ecosystem for data analysis and forecasting (SciPy, Pandas, Jupyter, etc.)
- BS in Compu

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