Finance Data Analyst

Argentina

Applications have closed

Dialpad

Dialpad Ai is built to foster collaboration, boost sales, and provide better customer experiences. Connect your team in one AI-powered app. Try it for free!

View company page

*ONLY RESUMES IN THE ENGLISH LANGUAGE WILL BE CONSIDERED*

As the only truly unified cloud communications platform that integrates both UCaaS and CCaaS (contact center), Dialpad is on a mission to prove that employees don’t need to be in the office, stuck at a desk, or wearing pants to be 110% effective at their job. Our patented Voice Intelligence technology is embedded in every call to transcribe conversations, capture action items, provide coaching, analyze sentiment, and more—in real time.

Who we are

At Dialpad, work isn’t a place you go, it's a thing you do. And we don’t just build products for everywhere workers—we are everywhere workers. With offices in the Bay Area, Austin, Raleigh, Vancouver, Waterloo, Tokyo, London, Sydney, and Bangalore, along with remote workers around the world, we are dedicated to building a diverse workforce, where each individual is welcomed and valued for their personhood and contribution.

With a $1.2 billion valuation and over $250 million in funding from Google Ventures, Andreessen Horowitz, OMERS Growth Equity, ICONIQ Capital, Felicis Ventures, Work-Bench, Scale Ventures, and other top VCs, Dialpad attracts top talent from leading tech companies, and every member of our team plays an essential role in creating dynamic products that enable workers to collaborate and be productive from anywhere.

The team

Our Data team gathers insights from oodles of data using their innate curiosity and technical prowess—informing future products and helping our customers. You’ll work with a variety of teams across the company to provide counsel and recommendations on how to best drive forward global initiatives.

What you will achieve

In your first 30 days: 

  • Understand the data landscape at Dialpad.
  • Partner primarily with Finance teams to define analytics requirements.
  • Design data schema and structure for datasets.  Validate and reconcile data from multiple sources to build complete datasets to be used for analysis.
  • Provide comprehensive day-to-day analytics support to answer questions, manage data sources, ensure data hygiene and quality, and empower users to self-service.

In your first 60 days: 

  • Become a valued, proactive thought partner that articulates opportunity areas and next steps in partnership with the business partners you support.
  • Create and maintain dashboards that power up stakeholders to make data-driven decisions across the organization. 
  • Communicate analysis and decisions to high-level stakeholders and executives in verbal, visual, and written media.

By 90 days: 

  • Be well versed in the Finance facing data sets.
  • Understand the business, key drivers, and be able to articulate a data analytics strategy to help the business do better.
  • Have a vision for how to evolve Financial Analytics.

Who you are

- You love data and you love answering the hard questions that cannot be solved in a spreadsheet.  While others may wait for problems to be solved...you are the one that solves them

- Hard skills (they will be tested):

  • You are fluent with data, analytics and visualization technologies 
  • You are comfortable with descriptive and inferential statistics (ie You are able to tell stories from data and perform statistical tests).
  • You are fluent in SQL and are able to join data from multiple sources to create a dataset that can then be analyzed.
  • Knowledge of Python is a plus (this will be tested if it is mentioned on your resume).
  • You understand data warehouse design, development, and best practices

- You believe that data accuracy is absolutely critical

- You have extremely strong written and verbal communication skills and ability to build strong relationships and influence with finance partners

- You are experienced leading cross-functional projects that depend on the contributions of others in a variety of disciplines

- Accounting background or experience working with FP&A teams is a plus.

- Fluency in English is required

Benefits

Culture

We’ve been named a Top Workplace seven times because we truly live and breathe our culture. In alignment with one of our core values, “Skill & Will,” we strive to bring on only the most passionate and talented people to our team. Collectively, Dialers work together to solve problems that help the everyday worker. We foster a collaborative environment where people are elevated, wins are celebrated, and development is encouraged. 

Compensation and Equity

Teamwork makes the dream work. Recognizing that our talented and committed team members drive our success, Dialpad offers competitive salaries in addition to stock options because each Dialer participates in our success.

Wellness

We offer a monthly stipend to help cover your gym membership costs and offer a variety of wellness events to attend. Who wants to join a fitness class, a zen session, or a cooking class? That and more are available to all Dialpad employees!

Equity, Balance, and Belonging

At Dialpad, we value the humanity that makes each of us unique. We strive to ensure everyone is supported equitably, and Dialers are free to bring their full selves to work each day, and celebrate others doing the same. We champion the intersectionality that exists between gender identity, ethnicity, age, disability status, and the many other aspects of our greater humanity.

Flexible Work Accommodations  

These days, it’s business as unusual. That’s why we offer a monthly stipend to help cover your cell phone and home internet. We also cover costs for home office equipment and encourage employees to take advantage of our generous time off and vacation policy. 

Dialpad is an equal opportunity employer. We are dedicated to creating a community of inclusion and an environment free from discrimination or harassment.

Tags: Data Analytics Finance Python SQL Statistics

Perks/benefits: Cell phone stipend Competitive pay Equity Fitness / gym Flex hours Flex vacation Gear Home office stipend Startup environment Team events Wellness

Region: South America
Country: Argentina
Job stats:  11  3  1
Category: Analyst Jobs

More jobs like this

Explore more AI, ML, Data Science career opportunities

Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.