Data Analyst

Important Information:

• Years of Experience: 7+ years

• Job Mode: Full-time

• Work Mode: Remote

Job Summary:

We are seeking a seasoned Senior Data Analyst / Data Scientist to join our team and deliver business-critical insights through advanced analytics and data storytelling. The ideal candidate will have a deep understanding of statistical methods, predictive analytics, and data modeling, with strong communication skills to support high-level decision-making across departments. Your work will directly contribute to strategic planning and operational improvements through actionable insights derived from complex data.

Responsibilities and Duties:

• Partner with stakeholders to address data collection, analysis, and insight generation

• Use statistical modeling and predictive analysis to solve strategic and operational problems

• Deliver actionable insights and prepare data-driven presentations for senior management

• Support business intelligence (BI) reporting, database production, and ad hoc analysis

• Execute hypothesis testing to understand acquisition and demand trends

• Build and maintain data pipelines and ETL processes using Airflow and other tools

• Manage and analyze large datasets using Python/SQL for deep data mining

• Balance multiple stakeholder needs in a dynamic and fast-paced environment

Qualifications and Skills:

• 7+ years of experience with Python/SQL (or equivalent) programming for data analysis

• Strong experience with data modeling, mining, and engineering solutions

• Proficient in BI and data visualization tools such as Tableau, Looker, or MicroStrategy

• Excellent problem-solving, communication, and interpersonal skills

• Ability to clearly present insights to both technical and non-technical stakeholders

Role-specific Requirements:

• Familiarity with GCP BigQuery and Presto (preferred)

• Experience with distributed data processing and orchestration tools (Kafka, Flink, Spark, Airflow, Apache Beam)

• Experience with cloud platforms such as AWS or GCP

• Ability to reconcile priorities among multiple teams in high-impact environments

Technologies:

• Languages & Tools: Python, SQL

• Cloud Platforms: AWS, GCP

• Data Processing: Kafka, Flink, Spark, Apache Beam, Kubernetes, Airflow

• Data Visualization: Tableau, Looker, MicroStrategy

• Databases: MySQL, BigQuery, Presto, S3

Skillset Competencies:

• Statistical modeling and predictive analytics

• ETL pipeline development and maintenance

• Hypothesis testing and experimentation

• BI reporting and dashboard creation

• Cross-functional collaboration and stakeholder management

About Encora

Encora is the preferred digital engineering and modernization partner of some of the world’s leading enterprises and digital native companies. With over 9,000 experts in 47+ offices and innovation labs worldwide, Encora’s technology practices include Product Engineering & Development, Cloud Services, Quality Engineering, DevSecOps, Data & Analytics, Digital Experience, Cybersecurity, and AI & LLM Engineering.

At Encora, we hire professionals based solely on their skills and qualifications and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.