Data Analyst
Product & Operations

Data Analyst

FULL-TIME
Jakarta, Indonesia
Tada the Game-Changer in Loyalty and Retention!
 
Who Are We?
Tada is a B2B2C loyalty and rewards platform that helps businesses improve channel partner, customer, and employee retention, build loyalty, and drive growth. Founded in 2012, Tada offers unified solutions that create engaging and rewarding experiences.
As an Indonesian SaaS company with a global footprint, Tada has assisted 400+ local and international brands across various industries. Our game-changing loyalty solutions have also garnered numerous awards, solidifying our reputation as a leader in the sector.
Why You’ll Love Working Here?
  • Sabbatical Program: Recharge with our 15-day sabbatical leave every three years, acknowledging that long-term work can be demanding.
  • Growth Opportunities: We support your learning and development aspirations, both within and outside our organization, aiming to nurture an entrepreneurial spirit in our team.
  • Unique Work Environment: Experience the unique blend of a mission-driven digital company with the innovative mindset of a start-up, enriched by our presence since 2012.
  • Engagement Department: Get involved to refresh your mind with exciting activities outside the work to do.
  • Laptop Ownership/Allowance: Choose between a company laptop or a laptop
  • Celebrate With Us: We love to celebrate work anniversaries and birthdays
  • Learning and lots of it. We promote vertical and lateral movement. It’s not uncommon for Tayo (that’s what we call our team) to move divisions two or three times throughout their career. We want people to learn new stuff that excites them.
  • Sincere teamwork. This word isn’t officially in our values, but when I asked new joiners about what value they really feel at Tada that’s not stated on our wall, many mentioned that Tayo is really helpful and they can feel the ‘teamwork’ atmosphere
  • Think and act like an owner is our value. But the truth is we don’t want you to act like an owner, we want you to be a real owner. So for our top performers, we’d love to lure you into our stock options program.
 
What We Do Not Promise:
  • We do not promise fixed working hours. Sometimes, projects and deadlines may require additional hours or flexibility.
  • We do not promise unlimited resources or budgets. We may have to operate with limited resources and manage priorities carefully.
  • We do not promise a pressure-free environment. There are often high demands and significant expectations for growth and success.
 
If you’re ready for a challenge and eager to make a real impact and be the Leading Loyalty & Rewards Platform in the region Take the leap and help us shape the future of loyalty and rewards! 🚀🌟

Job Description:

Job Opportunities

Job Title: Data Analyst

Department: Product & Operations

Working Arrangement: On-site

Information About The Role

Data Analysts are responsible for interpreting data, generating insights, and supporting business decision-making. They clean, process, and analyze data, create reports and dashboards, and identify trends or patterns. Using statistical methods and visualization tools, they transform raw data into actionable insights while ensuring alignment with business objectives

Key Responsibility

  • Collect and gather data from various sources such as databases, APIs, and external sources, ensuring accuracy and completeness through data cleaning and transformation.
  • Create transformation tables for reporting and visualization using Airflow or other pipeline tools.
  • Analyze data to identify trends, patterns, and correlations, conducting Exploratory Data Analysis (EDA) to support business objectives
  • Develop and maintain dashboards and reports using Tableau, Metabase, and Looker Studio, ensuring stakeholders have access to actionable insights.
  • Automate recurring reports and dashboards to improve efficiency and minimize manual effort.
  • Optimize data collection processes to enhance accuracy and streamline workflows.
  • Develop automation tools to improve internal data workflows and processes.
  • Collaborate with teams and stakeholders to understand their reporting, dashboard, and automation needs.
  • Work closely with Data Engineers to improve data infrastructure and maintain data quality.

Requirements:

Requirement

  • Minimum Bachelor’s degree in Data Science, Statistics, Computer Science, or a related field.
  • 2-3 years of experience as a Data Analyst, with a proven track record of designing and implementing large-scale data pipelines and data lakes.
  • Strong knowledge of Statistics and Data Modeling.
  • Excellent communication skills, both written and verbal.
  • Proficiency in data visualization tools such as Tableau, Metabase, Looker Studio, or Power BI.
  • Proficiency in data analysis tools such as SQL, R, or Python.
  • Experience working with cloud data platforms such as AWS, Google Cloud, or Azure (e.g., Redshift, BigQuery, Snowflake)