Data Analyst

Turn Raw Numbers into Actionable Insights with Nearshore Data Experts

Data Analysts turn multi-source datasets into clear, actionable narratives that help leadership act with confidence. From ad-hoc queries to enterprise dashboards, they uncover the story hidden in your data and turn it into profitable action.

Chosen by Fast-Growing Teams

Key Focus Areas

Handling fragmented data sources, unreliable KPIs, and dashboard sprawl can leave teams guessing instead of acting. Our Data Analysts clear that fog by honing in on the high-impact domains that close the gap between raw numbers and business outcomes. Explore the focus areas below to see where they’ll move the needle first.

Data

Acquisition & Pipelines

Data Acquisition & Pipelines

Design resilient batch/stream pipelines that ingest, transform and deliver trustworthy data/feature sets.

Data

Storytelling

Data Storytelling

Craft compelling narratives that connect data to business impact via written, verbal and visual means.

Visualization

& Dashboards

Visualization & Dashboards

Build intuitive, actionable visuals and dashboards that surface insights and drive decisions.

Business Insight

Generation

Business Insight Generation

Translate analytical findings into recommendations that move KPIs and strategy.

Analytics

& Reporting

Analytics & Reporting

Define, calculate and automate trustworthy metrics, with lineage and governance, for ongoing monitoring.

Experimentation

& Causal Inference

Experimentation & Causal Inference

Design A/B & multivariate tests, evaluate lift, and quantify uncertainty.

Tools & Technologies

Our Data Analysts work within a modern analytics stack that ensures flexibility, scalability, and accuracy across every stage of the data journey. From ingestion to insight, they harness tools that enable fast iteration, collaboration, and decision-making.

Below, you’ll see some of the most-used tools & technologies across the AI & Data lifecycle stages that a Data Analyst typically works on. If your stack runs on something else, let us know: our team adapts to any platform.

Lifecycle Stages

Ingest & Organize

Acquire, clean, and structure data with governed pipelines, scalable storage, and platform enablement so information is reliable, secure, and discoverable.

Explore & Understand

Turn raw tables into business context through storytelling, dashboards, KPI definitions, and analytics that surface opportunities and risks.

Model & Experiment

Design experiments and causal analyses; develop, validate, and tune models and features; add real-time inference where instant decisions matter.

Acquire, clean, and structure data with governed pipelines, scalable storage, and platform enablement so information is reliable, secure, and discoverable.

Turn raw tables into business context through storytelling, dashboards, KPI definitions, and analytics that surface opportunities and risks.

Design experiments and causal analyses; develop, validate, and tune models and features; add real-time inference where instant decisions matter.

Find the right role for this stage >

Fivetran
Looker
Jupyter
Kafka
Amplitude
dbt
SQL
Quicksight
Sheets
AWS Glue
Optimizely
Google Analytics
Mixpanel
Azure Data Factory
Metabase
Tableau
Google Data Studio
Hex
Airbyte
Power BI
Eppo
Superset
R Project
Excel
Python

Meet Some of Our Data Analysts

Our Data Analysts bring a mix of business acumen, technical expertise, and storytelling skills to unlock insight and drive results. Here’s a sample of the professionals you could work with:

U.S. Hiring vs Abstra Nearshore Savings

Get an Estimated Total Cost of Ownership (TCO) for hiring in the U.S. in under 60 seconds with our cost calculator, then see how much you could save with nearshore hiring.

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Why Abstra Is Your Ideal Partner

Fast and Flexible

Fast and Flexible

Our adaptability and agile processes enable us to swiftly meet your project needs, delivering tech solutions aligned with your timelines and goals.

Partnership-Oriented

Partnership-Oriented

Through open communication and mutual trust, we create collaborative relationships that drive sustained success and growth.

US-Trained Leadership

US-Trained Leadership

Our US-trained founders bring a wealth of technical knowledge and a deep understanding of the US and LATAM markets.

15 Years of Experience

15 Years of Experience

Our expertise spans a variety of industries. We tailor our solutions to meet the needs of each company, regardless of its size or sector

What Are the Different Ways to Hire Our Team?

Explore Our Engagement Models

Staff Augmentation

Our professionals seamlessly integrate into your team, boosting your capabilities and driving your projects forward.

Dedicated Teams

We provide complete software teams that become integral to your organization, working collaboratively to achieve your business goals.

Software Outsourcing

Our experienced project managers and software teams handle your projects from start to finish, delivering tailored solutions that meet your requirements.

Managed IT Services

We offer comprehensive management of your IT services, ensuring smooth operations and optimal performance of your tech stack.

Ready to take the next step?

Frequently Asked Questions

Can Abstra supply a full team or just one role?

Both. We can provide a single specialist to fill a specific gap or build out an entire cross-functional team tailored to your project.

Which engagement models do you offer?
We offer flexible engagement models, including staff augmentation, dedicated teams, managed IT services or software outsourcing, so you can choose the approach that best fits your timeline, budget, and goals.
Are these the only roles you offer?
Not at all. These are just examples of our most-requested roles. If you need a different skill set, we can connect you with the right expert from our extensive talent network.
Can you scale the team up or down as needed?
Yes. We can quickly expand your team to accelerate delivery or scale it back when priorities change, ensuring you always have the right level of support.
Will your team work in our time zone?
Yes. Our nearshore model ensures strong time zone overlap with U.S. teams, enabling real-time collaboration and faster decision-making.