Senior Data Analyst @ SMC Global Securities

Job Description

Hello, Truecaller is calling you from Bangalore, India! Ready to pick up

Truecaller transformed how we communicate when we launched in 2009 in Stockholm, Sweden.

Truecaller transformed how we communicate when we launched in 2009 in Stockholm, Sweden.

Our mission is to build trust everywhere by making tomorrow s communication smarter, safer and more efficient. We focus on bringing smart services with big social impacts, like protecting people from fraud, harassment, and scam calls or messages. We identify new numbers from anywhere in the world and build a space for trustworthy conversations, for those that matter. Truecaller is loved by over 350 million people around the world and is growing very rapidly across regions.

Who we are:

• The world s #1 caller ID and spam blocking service for Android and iOS.
• A team of +400 people from ~35 different nationalities, spread across our headquarters in Stockholm and offices in Bangalore, Mumbai, Gurgaon, Tel Aviv and Nairobi.
• Listed on Nasdaq.

The Enterprise Product team is on a focussed mission to build an indispensable set of tools that deliver superior communication efficiency for businesses while enhancing value and safety for every person who uses Truecaller.

On a path to launch and establish new product lines that will bolster Truecaller s enterprise platform as a must have product for enterprises, we are on the lookout for amazing talent to join us on this exciting new phase in our journey.

As a Senior Data Analyst in the enterprise product team, you will remain focussed on leveraging data within the Truecaller ecosystem to empower our enterprise customers and internal teams with actionable insights.

Constant innovation using new age technologies and data analysis techniques to discover actionable insights and communicate data in new and more effective ways for influencing a business s communication decisions must remain a constant endeavor.

And, like most enterprise platforms, the quality of insights we offer will directly impact the level of customer engagement we can unlock. You are expected to adhere to best practices in data visualization, statistical analysis, creating data pipelines to automate collection, cleaning and aggregation of data.

What will you work on

• Apply your expertise in quantitative analysis, data mining, and data visualization to see beyond the numbers and understand how Truecaller users interact with core enterprise products.
• Develop dashboards and reports that adhere to the visualization best practices and communicate a story.
• Determine demographic & interaction patterns that elevate the insights that you publish.
• Create data pipelines to automate collection, cleaning and aggregation of data
• Inform, influence, support and execute product decisions
• Partner with Product & Engineering teams to solve problems and identify trends & opportunities
• Identify analytics experiential changes we can incorporate into enterprise web portals to constantly improve customer engagement
• Perform ad-hoc analysis on a requirement basis in close collaboration with GTM & product counterparts
• Engage with enterprise customers to understand value creation opportunities that can stem from data intelligence
• Generate and implement ideas to continuously improve analytics and reporting services delivery.
• Participate in drafting documents and presentations for communicating innovations, ideas, or discoveries.

What do we expect from you

• 5+ years of experience doing quantitative analysis
• Experience working for a Product/SaaS company is a plus
• Expertise in querying languages:- SQL is a must
• Intellectual curiosity and enthusiasm to apply data to discover and solve business challenges and questions
• Problem solving mentality, resourcefulness and creativity in identifying solutions
• Full stack experience in data collection, aggregation, analysis, visualization, productizing and maintenance of analytics products
• Good applied statistics skills, such as distributions, statistical testing, regression, etc.
• Good scripting and programming skills
• The ability to communicate the results of analyses in a clear and effective manner

It would be great if you also have

• Experience with data visualization tools, such as Looker, Tableau, PowerBI, Google Data Studio etc.
• Experience with large data sets and distributed computing (Hive/Hadoop/Spark) a plus
• Good understanding of A/B experiments and hands-on experience is a plus.
• Experience in Python is a plus

Life at Truecaller - Behind the code: https://www.instagram.com/lifeattruecaller/

Sounds like your dream job

We will fill the position as soon as we find the right candidate, so please send your application as soon as possible. We are excited to hear from you, don t hesitate to apply!

This position is based in Bangalore, India.

We only accept applications in English.

What we offer:

• A smart, talented and agile team: An international team where ~35 nationalities are working together in several locations and time zones with a learning, sharing and fun environment.
• A great compensation package: Competitive salary, excellent medical, accident and life-term insurance, Udemy membership to keep learning and improving, and flexible working hours.
• Great tech tools: We ensure that you have winning tech tools and resources to thrive and succeed in your role.
• Office life: Enjoy your days with a wide range of yummy snacks and beverages. As well, exciting company parties and team activities such as Football, Lab days, Running team, or Geek lunch!

Come as you are:

Truecaller is diverse, equal and inclusive. We need a wide variety of backgrounds, perspectives, beliefs and experiences in order to keep building our great products. No matter where you are based, which language you speak, your accent, race, religion, color, nationality, gender, sexual orientation, age, marital status, etc. All those things make you who you are, and that s why we would love to meet you.

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Keyskills:   sql data analysis sql server databases reporting new age data mining value creation data collection data visualization reporting services customer engagement statistical analysis quantitative analysis compatibility testing gtm set stem agile fraud