Mindlance
Key Responsibilities:
Extract, clean, and analyze large datasets using
SQL
and
Python . Automate data pipelines and ETL processes using AWS services like
Lambda, S3, Redshift , and
Glue . Create interactive reports and dashboards to visualize trends, KPIs, and business metrics. Work closely with stakeholders to understand data needs and translate them into technical requirements. Develop ad-hoc analyses to support operational and strategic decisions. Maintain documentation of data sources, transformations, and reporting logic. Identify data quality issues and work with engineering to resolve inconsistencies. Required Skills & Qualifications:
Bachelor's degree in Computer Science, Data Science, Statistics, or related field. 2+ years of experience in a Data Analyst or similar role. Strong proficiency in
SQL
for querying relational databases. Hands-on experience with
Python
for data wrangling, statistical analysis, and automation. Familiarity with
AWS services
(S3, Lambda, Redshift, Glue, etc.). Advanced knowledge of
Microsoft Excel
including pivot tables, VLOOKUP, and formulas. Ability to translate business problems into data-driven solutions. Strong verbal and written communication skills.
EEO: MindLance is an Equal Opportunity Employer and does not discriminate in employment on the basis of Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.
SQL
and
Python . Automate data pipelines and ETL processes using AWS services like
Lambda, S3, Redshift , and
Glue . Create interactive reports and dashboards to visualize trends, KPIs, and business metrics. Work closely with stakeholders to understand data needs and translate them into technical requirements. Develop ad-hoc analyses to support operational and strategic decisions. Maintain documentation of data sources, transformations, and reporting logic. Identify data quality issues and work with engineering to resolve inconsistencies. Required Skills & Qualifications:
Bachelor's degree in Computer Science, Data Science, Statistics, or related field. 2+ years of experience in a Data Analyst or similar role. Strong proficiency in
SQL
for querying relational databases. Hands-on experience with
Python
for data wrangling, statistical analysis, and automation. Familiarity with
AWS services
(S3, Lambda, Redshift, Glue, etc.). Advanced knowledge of
Microsoft Excel
including pivot tables, VLOOKUP, and formulas. Ability to translate business problems into data-driven solutions. Strong verbal and written communication skills.
EEO: MindLance is an Equal Opportunity Employer and does not discriminate in employment on the basis of Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.