TL;DR
BI Data Analyst/Specialist (Data Quality): Ensuring the reliability of data used across BI platforms with an accent on querying, validating, and profiling large datasets across complex systems. Focus on driving data quality improvements, enhancing client experience, and supporting better decision-making.
Location: Hybrid (Bengaluru)
Company
hirify.global is a fast-growing company that transforms experiences and improves business outcomes for global brands.
What you will do
- Query, validate, and profile large datasets across complex systems using SQL.
- Work with dashboards and analytics tools like Power BI, Tableau, or Excel for trend analysis and executive reporting.
- Manage multiple concurrent tasks with strong attention to detail and organizational skills.
- Coordinate across teams and document issues effectively using strong written and verbal communication skills.
Requirements
- 3 to 8 years of experience.
- Strong technical foundation in SQL.
- Familiarity with data quality tools such as Informatica DQ, Collibra DQ, Ataccama, or similar platforms.
- Solid understanding of key data quality dimensions (completeness, accuracy, consistency, timeliness, validity).
Nice to have
- Experience in financial services or understanding of financial products.
- Knowledge of data governance and metadata management practices.
- Ability to influence and negotiate with stakeholders to drive data quality improvements.
- Collaborative mindset and ability to work across teams and geographies.
Culture & Benefits
- Flexible working options include working from home, at the office, or hybrid.
- Coordinate with clients and teams across time zones to support personal preferences.
- Personal and professional development opportunities, on-the-job mentoring, and assistance for ongoing learning.
- Competitive benefits supporting personal and family needs.
- Be an active part of corporate social responsibility programs.
Будьте осторожны: если вас просят войти в iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →