Remote Data Jobs · Tableau

Spearhead the development of Trust Wallet's data analytics operations. As one of the early Data Analysts, work closely with engineering, product, and leadership teams to build a data-driven culture. You will be responsible for leveraging our newly established AWS data lake to provide actionable insights, establish data governance, and help shape the future of analytics in our organisation.

You are an experienced data analyst with a track record of extracting insights and actionable information from structured data. You have built dashboards for daily review and summarized results for executive stakeholders. You will refine their needs into answerable questions, answer those questions, and work with them until they understand the implications.

Responsible for analytics and reporting used to drive the success of our Sales Department, you will own recurring performance reporting, which operates on a daily, weekly and monthly cadence, as well as contribute to ad hoc data analysis projects. Objective will be to streamline and automate our existing reporting, laying the groundwork for increased participation in ad hoc reporting and strategic initiatives.

Design, build, and manage data warehouse to serve as the single source of truth for the organization. Develop and deploy low-latency, real-time data streaming pipelines. Enable self-service analytics by building clean, well-documented, and trusted datasets. Establish and follow data governance and security best practices. Stay current with industry best practices and emerging data analysis tools and techniques.

Pinpoint the key opportunities for optimizing costs and reducing carbon impact, teaming up with Engineering to propel them forward. This role provides insights that directly influence Procurement and Technology Infrastructure strategies, shaping how Spotify invests in and scales its infrastructure. You'll take ownership of our cloud carbon emissions reporting methodology and tooling, ensuring it continues to evolve in close collaboration with the Head of Climate and Sustainability.

The Analytics Engineer II is responsible for building, maintaining, and optimizing data pipelines, models, and analytics frameworks that enable data-driven insights and strategic decision-making. This role will focus on integrating and analyzing key operational and customer experience data from Salesforce (SF), survey platforms, communication tools and Learning Management Systems (LMS). The Analytics Engineer II will work across medium-complexity data sets that support singular product lines.

This role will act as the voice of data across tem, acting in a principle capacity without being weighed down by management. Partner with Product, Finance, Marketing, and Customer Success to unlock insights, define metrics, and standardise how data drives decision-making. From analysing feature impact, to sizing new commercial opportunities, to understanding churn and broker performance, your work will shape the future of the product and business.

Primarily work with the Marketing team, helping to make correct data-informed decisions. You will automate the management and monitoring of marketing platforms. Building scripts and tools to interact with ad platform APIs, streamlining routine tasks is part of the role. Create AI-assisted workflows using LLM APIs and develop dashboards and reports that provide transparency into campaign performance and business KPIs.

The Product Analytics team is looking for a Sr. Manager, Product Analytics, who will play a critical role in driving the growth of our personal loans business and product strategy. Sitting at the intersection of product, risk, and business insights, the Product Analytics team plays a critical role in analyzing & optimizing new product features as well as driving the omni-channel strategy across our channels.

Ruby Labs is hiring an experienced Senior Data Analyst to join their fast-paced and rapidly growing team. In this role, you will create new reports, improve current ones, and ensure well-modeled data for decision-making. The responsibilities include partnering with Product Owners and Data Teams to create dashboards, analyze user behavior, identify trends, and build robust data models in SQL. You will monitor metrics and provide actionable feedback.