Data Analyst

United States - Remote

Applications have closed

Sinch

Unlock meaningful conversations across the customer journey with programmable SMS, voice, email, video, & verification APIs!

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We are Sinch. With presence in more than 55 countries, we’re a growing global organization that helps amazing companies engage with customers on their mobile phones. And whether you know us or not, you’ve definitely used our tech. We reach every phone on earth, with over 147 billion conversations every year.

This is a chance for you to dream even bigger than ever. And because we believe that equal opportunities are the key to our success, no matter who you are, you’ll be able to explore career options, face fascinating challenges, building your skills alongside amazing experts. It’s not easy to reach every person, on every phone, on every channel, everywhere. Create the software that makes it happen. Join our team as a Data Analyst!

The essence of the role

At Sinch, our focus is on driving growth through organic initiatives. Strong organic growth requires a solid foundation in data to be effective, guiding business strategy and building efficiencies. As part of our newly formed Analytics department, you'll collaborate with colleagues from around the world. Our primary goal is to deliver timely insights across the Sinch business, influencing operational optimization and providing tactical or strategic decision recommendations. To excel in this role, we're seeking an individual who is thorough, detail-oriented, and driven to understand the 'why' behind data patterns. Adaptability in a fast-changing environment is crucial, and an appreciation for the diversity of daily challenges is essential.

Key partners for this role include multifunctional teams in areas including Product, Finance, Operations, HR, and Sales. We work in a modern tech stack with tools including Snowflake, dbt, Looker and Tableau.

Key Responsibilities

  • Insights and Reporting: Provide actionable insights through data analysis; develop and maintain reports and dashboards to track key performance indicators.
  • Data Model Development: Create and refine models to support our stakeholders' decision-making processes.
  • Collaboration and Integration: Work closely with various teams (i.e. Data Fabric, Data Enablement, Data Warehousing, and Product to integrate analytics into business processes effectively.
  • Continuous Improvement: Assess internal resources, documentation, data sources, and reporting continually, striving for improved quality and accuracy.
  • Spreading Data Culture: Collaborate with the team to support and train stakeholders, aiming to increase data-driven decision-making across our groups.
  • Project Work: Support and drive various analytics projects and models through a deep understanding of tech/telecom data.

Requirements

Required qualifications

  • At least 2 years of proficiency in Looker, Tableau or similar data visualization software.
  • A minimum of 3 years of experience in SQL, or a comparable track record in analysing large structured and unstructured datasets.
  • A bachelor’s or master’s degree is desirable, ideally in a business or quantitative subject (e.g., computer science, mathematics, engineering, science, economics, or finance).
  • Proven experience collaborating with senior stakeholders to solve business problems through data and analytics.
  • Fluency in English, both verbal and written.

Big Plus!

  • Experience working in a global company with colleagues and partners across multiple time zones.
  • Telecom or Tech experience.

Preferred Qualities

  • Growth Mindset: Encourages continuous learning and development, both personally and professionally, and views challenges as opportunities for growth.
  • Detail-Oriented: Pays meticulous attention to the nuances of data and analytics, ensuring accuracy and precision in all aspects of work.
  • Adaptability: Demonstrates flexibility in responding to changes in the business environment, maintaining effectiveness in varying situations.
  • Emotional Intelligence: Possesses the ability to understand and manage one's own emotions, as well as empathize with others, fostering strong workplace relationships.
  • Innovative Mindset: Encourages thinking outside the box and embracing new ideas and technologies, keeping us at the forefront of industry advancements.
  • Effective Communication: Exhibits strong skills in expressing ideas and complex data insights clearly and persuasively to diverse audiences.

Benefits

Benefits

Sinch is a global company composed of people from different countries and cultures. Our benefits adjust regionally to support employees and help them to thrive in every stage of life. We offer valuable benefits and resources, including health and life insurance, a flexible work environment, retirement savings plans, and more.

Our Hiring Process

In Sinch, we are committed to following a recruitment process that is fair, objective, consistent, and equal opportunity. Our Talent Acquisition team, together with hiring managers and the rest of the interviewing team, persistently works towards identifying the people that best fit each open job, based on Sinch’ s hiring needs and candidates’ career expectations.

We encourage applications from strong candidates with relevant professional backgrounds for this role. Not all applicants will meet all job requirements exactly! Don't let that stop you from considering Sinch for the next step in your career. We are always open to candidates that could bring new insights and perspectives to Sinch! 

This role will be accepting applications until [date - 5 business days from the time of posting] at a minimum. Please note that the application timeline may be flexible to accommodate a comprehensive candidate evaluation.

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: Computer Science Data analysis Data visualization Data Warehousing dbt Economics Engineering Excel Finance Looker Mathematics ML models Snowflake SQL Tableau

Perks/benefits: Career development Flex hours Health care

Regions: Remote/Anywhere North America
Country: United States
Job stats:  64  27  0
Category: Analyst Jobs

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