Lead Data Analyst

HireAlpha
US
Remote

Why this role

Pace
Fast Paced
The job requires managing time effectively and prioritizing tasks in a dynamic environment, indicating a fast-paced work context.
Collaboration
High
The role necessitates excellent communication and teamwork skills to collaborate with cross-functional teams, highlighting a collaborative work environment.
Autonomy
Medium
With the requirement to independently design and implement data solutions, this role offers a high level of autonomy.
Decision Impact
Team
The ability to manage data infrastructure and deploy data products implies significant decision-making impact.
Role Level
Team Lead
The job demands expertise in multiple programming languages, cloud platforms, and data modeling, indicating a high level of complexity.

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • developing and optimizing data solutions
  • managing data infrastructure
Typical background
5+ years of experience in data analysis

Transferable backgrounds

  • Coming from Data Analyst at a retail company
    Strong analytical and problem-solving skills · Experience with data warehousing and ETL concepts
    The retail experience can be leveraged to understand and manage banking data, given the similar need for data-driven decision-making.
  • Coming from Data Engineer at a tech startup
    Expert-level proficiency in SQL, Python · Experience with cloud platforms like AWS
    The technical skills and cloud platform experience are directly transferable to the banking domain.

Skills & requirements

Required

Data Querying And ProcessingData VisualizationData Warehousing And ETLCloud Platforms

Preferred

Expert-level Proficiency In SQL, Python With Sas/r/spark

Stack & domain

Data QueryingSQLOracleApache SparkData VisualizationPower BIData WarehousingETLPythonSASRSparkCloud PlatformsAzureDatabricksData ModelingData GovernanceData Quality AssuranceData ComplianceComputer Science FundamentalsAnalyticalProblem-solvingCommunicationTeamworkTime ManagementCloud Technology CertificationBankingData Engineering

About the role

This role involves leading the design and optimization of data solutions within the banking sector, requiring a candidate who excels in both technical and interpersonal skills, and has a deep understanding of cloud platforms like Azure and Databricks.

Original posting from HireAlpha via LinkedIn

JOB DESCRIPTION - DATA ANALYST

Role-Senior Data Analyst – Azure & Databricks (Banking Domain)

Exp-5+ Years

Location-Dubai

Core Skills:

  • Strong analytical and problem-solving skills to effectively design data solutions.
  • Banking Retail, Business & Wholesale Product Knowledge and understanding
  • Attention to detail and a commitment to delivering high-quality work.
  • Excellent communication and teamwork skills to collaborate with cross-functional teams.
  • Ability to manage time effectively and prioritize tasks in a dynamic work environment.
  • Technical Skills:
  • Strong data querying and processing skills using SQL, Oracle, Apache Spark or similar language
  • Data Visualization tools – Power BI, Business Objects, Crystal or similar tool
  • Data Warehousing and ETL concepts
  • Competencies:
  • Expert-level proficiency in SQL, Python with SAS/R/Spark as plus
  • Deep understanding of distributed data processing frameworks, particularly Apache Spark.
  • Experience with cloud platforms (Azure, AWS) — including Object storage, compute, networking, and data integration services.
  • Familiarity with data modeling techniques, including schema design, partitioning, and performance tuning.
  • Experience working with structured and semi-structured data formats (e.g., JSON, Parquet, Avro, XML).
  • Knowledge of data governance, quality assurance, and compliance best practices.
  • Solid grasp of core computer science fundamentals (e.g., data structures, search algorithms, queues) relevant to performance-critical data engineering

Education and Experience-

Minimum formal education

  • Bachelors or master’s degree in computer science, Information Technology, or a related field.
  • Demonstrated expertise in working with Data Bricks for data processing and analysis.
  • Experience in implementing and optimizing data solutions using multiple programming languages in an Azure environment.

Certification requirement

Any Cloud Technology Certification an advantage

Experience

  • Proven experience as a Data Analyst or in a similar role, with at least X years of hands-on experience in developing data pipelines and managing data infrastructure within Azure.
  • 3 years of experience in banking data
  • Databricks and SQL experience required
  • Experience in reporting, analysis and MIS teams preferred
  • Worked on end-to-end Data Product deployment

Source: HireAlpha careers (LinkedIn)

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