Staff Data Analyst, Lokalise

Salary not provided

+ stock options

SQL
Python
dbt
Senior and Expert level
Remote in EU, UK

More information about location

Lokalise

Localization platform for agile teams

Job no longer available

Lokalise

Localization platform for agile teams

201-500 employees

B2BEnterpriseLanguagesInternal toolsProductivityPublishingContentCommunicationSaaSAutomation

Job no longer available

Salary not provided

+ stock options

SQL
Python
dbt
Senior and Expert level
Remote in EU, UK

More information about location

201-500 employees

B2BEnterpriseLanguagesInternal toolsProductivityPublishingContentCommunicationSaaSAutomation

Company mission

To eliminate the hassle of localization by providing tools to automate, integrate, and better manage your translations.

Role

Who you are

  • A Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Economics, or a related field
  • +6 years of experience in data analytics, preferably in a product-led growth company, with a strong track record of leveraging data to drive decision-making and growth
  • Proficiency in analytics and data tools and technologies (e.g., SQL, Python, DBT) and knowledge of statistical analysis, predictive modeling, and machine learning techniques
  • Expertise in data visualization and reporting
  • Experience working with marketing and revenue teams, reconciling revenue data, and finding optimizations in customer acquisition flows
  • Excellent communication skills, with the ability to translate complex data insights into actionable strategies
  • Experience in a high-growth tech or SaaS environment is highly desirable

What the job involves

  • As a Staff Data Analyst at Lokalise, you will be crucial in driving our data analytics initiatives and supporting a data-driven culture across the company
  • Your expertise in data visualization, reporting, and machine learning will contribute to optimizing customer acquisition and empowering decision-making and innovation at every level
  • Support Analytics Vision: Contribute to developing and implementing a comprehensive analytics strategy that aligns with our business objectives
  • Build and Maintain Reports and Dashboards: Design, develop, automate, and maintain ongoing metrics, reports, analyses, and dashboards on the critical drivers of our business
  • Develop Machine Learning Models: Build and deploy machine learning models (e.g., regression, XGBoost, Decision Trees) to optimize customer acquisition flows and find new growth opportunities
  • Ensure Data Quality: Maintain data integrity and quality through the use of tools such as DBT
  • Support Marketing and Revenue Teams: Collaborate with marketing and revenue teams to reconcile revenue data and identify opportunities for optimization in customer acquisition flows
  • Foster Data-Driven Culture: Champion the use of data in decision-making, ensuring data accessibility and literacy across all departments

Our take

Localization can be a headache for companies shipping products to new markets, involving lengthy manual work and often highly general tools like Excel. Add to that the complexities of updating localization strategies to align with new agile software development methods, and it can prove a real hurdle for companies looking to expand their global footprint.

Lokalise allows for localization to be centralized and knitted more tightly into the development process, anticipating pernickety issues like formatting errors thrown up if translations require more space in the target language. This is a substantial development on translation-only services, but it’s becoming an industry standard also offered by competitors like RWS and Memsource.

What will help the relatively young Lokalise compete is a 2,500+ strong customer roster, which includes major enterprises like Revolut, Virgin Mobile, and Starbucks. It’s helped Lokalise cause a stir in the industry, and with global expansion on the rise across all major sectors, it should help the company continue its already impressive growth going forwards.

Steph headshot

Steph

Company Specialist

Insights

Top investors

Many candidates hear
back within 2 weeks

-23% employee growth in 12 months

Company

Employee endorsements

Flexible working

"Working remotely means we manage our energy - not our time and so I find space for everything that matters to me while giving it my all at work...."

Funding (last 2 of 4 rounds)

Feb 2023

$61.7m

LATE VC

Dec 2021

$50m

SERIES B

Total funding: $117.8m

Company benefits

  • Coworking allowance
  • Unlimited PTO and Work-life balance
  • Health insurance
  • Top-notch tech equipment to work with
  • Parental leave
  • Personal development budget
  • Stock options
  • Fun & close-knit team, on- and offline meetings (off-sites)
  • Wellness benefits
  • 100% remote async work
  • Positive Impact (carbon-neutral company)
  • Mental health support
  • Full-time remote work
  • Company events
  • Budget for home office set-up

Company values

  • Be direct and kind. Put yourself in others' shoes.
  • Support one another. Thrive together.
  • Build competence. Keep growing.
  • Take ownership. Optimize for impact.
  • Aim high. Stay down to earth.

Company HQ

Camden, DE

Founders

A serial co-founder and CEO, who has filled these roles at inbox.lv, Vide Infra Group, Double Coffee, Pozitel Telecom, and Roamerapp.

Has been on the boards of Forticom (where he was also CFO), OK.RU, and Open Media Group, and served as MD at KBC Securities Ukraine. Went on to co-found Megogo.net and Roamerapp, then work in business development at Apply.

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