Role overview

Qualifications

5 years of experience in a data-related role
Advanced SQL skills
Beginner-level Python proficiency
Experience with data visualization tools

Responsibilities

Write and optimize complex SQL queries to extract, transform, and analyze data
Use Python for data wrangling and ad-hoc analysis
Generate business insights and reports using visualization tools
Act as a liaison between business and technical teams

Key facts

Remote from: Anywhere
Full time
Senior (5-10 years)
Software Engineer
English

Hard skills

SQL (Programming Language) Data Visualization Data Wrangling Python (Programming Language) MySQL PostgreSQL Power BI Tableau (Business Intelligence Software)

Other skills

Analytical Skills
Problem Solving
Communication
Teamwork
Time Management

About the company

Spark Tek Inc

We are a team of experts with deep knowledge of various business functions. We aim to provide customized solutions that can be aligned with our customer demands. We provide business consulting services to help you build high performing organizations which are scalable and sustainable. Our reliable solutions have proven success across varied industries along with different growth stages. We are fast expanding industry and domain experts with in depth experience in leadership and global organizations.

Company details

Company typeStartup

Company size11 - 50

Links

Website LinkedIn See all jobs

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Job description

Job Title: BA with Data Analysis
Location: Remote
Job Type: Contract

Job Description:

We are looking for a talented and driven Data Analyst with 8 years of experience who has advanced SQL skills and beginner-level Python proficiency to join our team. This role requires a candidate who can not only manipulate and analyze data but also work closely with the business to understand their needs and translate them into actionable technical solutions. The ideal candidate should be capable of performing data wrangling, generating insights, and presenting findings in a clear and concise manner to non-technical stakeholders.

Key Responsibilities:
Data Analysis & Reporting:

Write and optimize complex SQL queries to extract, transform, and analyze large datasets from multiple sources.
Use Python to perform basic data wrangling, preprocessing, and ad-hoc analysis.
Generate business insights and actionable reports using data visualization tools or SQL-based reports.
Build and maintain dashboards and ad-hoc reports to meet the evolving needs of the business.

Data Wrangling & Processing:

Use Python scripts for automating repetitive tasks, handling datasets, and performing basic data analysis.
Clean, merge, and manipulate datasets to prepare them for further analysis or reporting.

Stakeholder Collaboration:

Act as a liaison between business and technical teams, gathering requirements from non-technical stakeholders and translating them into technical specifications.
Work with cross-functional teams (e.g., product managers, marketing, finance) to understand business problems, offer insights, and suggest data-driven solutions.
Present complex data findings in a simple, understandable manner to business users and management.

Technical Documentation:

Create and maintain clear documentation of data structures, processes, and reports to ensure that stakeholders can understand and use data effectively.
Ensure consistent, accurate, and up-to-date documentation of all reporting processes.

Data Integrity & Quality:

Maintain a high level of data integrity and data quality, ensuring all analyses and reports are reliable and accurate.
Identify and resolve data quality issues by working with other teams and improving data governance practices.

Required Skills & Experience:

5 years of experience in a data-related role (e.g., Data Analyst, Business Intelligence Analyst, or Data Engineer).
Advanced SQL skills: Capable of writing complex queries, optimizing query performance, and working with large datasets from relational databases (e.g., MySQL, PostgreSQL, SQL Server).
Beginner-level Python proficiency: Comfortable using Python for basic data wrangling, such as cleaning, transforming, and analyzing datasets.
Experience working with data visualization tools (e.g., Power BI, Tableau) or the ability to generate reports directly from SQL.
Proven experience working with business stakeholders to gather requirements and translate them into technical solutions.
Strong analytical and problem-solving skills, with a keen eye for detail and data accuracy.
Excellent communication skills, both verbal and written, with the ability to present data-driven insights clearly to non-technical audiences.
Ability to work independently, prioritize tasks, and manage multiple projects in a fast-paced

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