Data Analyst

CredX

New York (NY)

On-site

USD 85,000 - 93,000

Full time

14 days+

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Benefits offered by this job

401(k)

Dental insurance

Health insurance

Visa sponsorship

Job summary

CredX seeks a Data Analyst to support data collection, cleaning, validation, and analysis across large, multi-source datasets. You will turn business questions into measurable insights through dashboards, reporting automation, and KPI monitoring.

Responsibilities include building dashboards, validating data accuracy, and collaborating with product, engineering, finance, and marketing to drive data-driven decisions. Strong SQL, Excel, and BI tools are essential.

Qualifications

Bachelor's or Master’s degree in Data Analytics, Computer Science, Information Systems, Statistics, Mathematics, Business Analytics, Economics, Engineering, or a related quantitative field.

Responsibilities

Collect, clean, validate, and analyze large datasets from multiple internal and external data sources.
Develop and maintain dashboards, reports, and visualizations to support operational and strategic decision-making.
Assess business performance, customer behavior, operational metrics, and product performance to surface trends, opportunities, and risks.
Collaborate with business stakeholders, product managers, engineering, finance, marketing, and operations to translate business questions into data-driven insights.
Conduct ad hoc analyses for business initiatives and executive decision-making.
Create recurring reports and automate reporting processes to improve operational efficiency.
Write SQL queries to extract, transform, and analyze structured data from relational databases.
Validate data accuracy, identify anomalies, and ensure consistency across reporting systems.
Define, monitor, and maintain key performance indicators (KPIs) and business metrics.
Build interactive dashboards using business intelligence tools to communicate insights clearly.
Perform exploratory data analysis to identify patterns, correlations, and business opportunities.
Support A/B testing, experimentation, and performance measurement initiatives.
Partner with data engineering teams to improve data pipelines, data models, and reporting infrastructure.
Document business definitions, reporting logic, metric calculations, and analytical methodologies.
Present findings and recommendations to technical and non-technical stakeholders using clear visualizations and presentations.
Identify opportunities to improve business processes using data and analytics.
Ensure compliance with organizational data governance, security, and privacy standards.
Stay current with emerging analytics tools, technologies, and industry best practices.

Skills

SQL

Advanced Excel

Tableau

Power BI

Looker

Python

Data modeling

Data warehousing

APIs data sources

Git

Education

Bachelor's or Master’s degree in a quantitative field

Tools

Snowflake

Google BigQuery

Amazon Redshift

Azure Synapse Analytics

Databricks

dbt

Apache Airflow

Git

Job description

CredX is seeking a Data Analyst to support data collection, cleaning, validation, and analysis across large, multi-source datasets. The role focuses on turning business questions into measurable, data-driven insights through dashboards, reporting automation, and KPI monitoring.

Key Responsibilities

Collect, clean, validate, and analyze large datasets from multiple internal and external data sources.
Develop and maintain dashboards, reports, and visualizations to support operational and strategic decision-making.
Assess business performance, customer behavior, operational metrics, and product performance to surface trends, opportunities, and risks.
Collaborate with business stakeholders, product managers, engineering, finance, marketing, and operations to translate business questions into data-driven insights.
Conduct ad hoc analyses for business initiatives and executive decision-making.
Create recurring reports and automate reporting processes to improve operational efficiency.
Write SQL queries to extract, transform, and analyze structured data from relational databases.
Validate data accuracy, identify anomalies, and ensure consistency across reporting systems.
Define, monitor, and maintain key performance indicators (KPIs) and business metrics.
Build interactive dashboards using business intelligence tools to communicate insights clearly.
Perform exploratory data analysis to identify patterns, correlations, and business opportunities.
Support A/B testing, experimentation, and performance measurement initiatives.
Partner with data engineering teams to improve data pipelines, data models, and reporting infrastructure.
Document business definitions, reporting logic, metric calculations, and analytical methodologies.
Present findings and recommendations to technical and non-technical stakeholders using clear visualizations and presentations.
Identify opportunities to improve business processes using data and analytics.
Ensure compliance with organizational data governance, security, and privacy standards.
Stay current with emerging analytics tools, technologies, and industry best practices.

Required Qualifications

Bachelor's or Master’s degree in Data Analytics, Computer Science, Information Systems, Statistics, Mathematics, Business Analytics, Economics, Engineering, or a related quantitative field.
3-5 years of professional experience as a data analyst or in a similar analytical role.
Advanced proficiency in SQL, including joins, window functions, common table expressions (CTEs), aggregations, and query optimization.
Strong experience with Microsoft Excel, including advanced formulas, PivotTables, Power Query, and data analysis techniques.
Hands-on experience with business intelligence and data visualization tools such as Tableau, Power BI, Looker, or similar platforms.
Experience analyzing large datasets and transforming raw data into actionable business insights.
Strong understanding of data modeling, relational databases, and data warehousing concepts.
Experience writing complex analytical queries and developing automated reporting solutions.
Proficiency in Python or R for data analysis, automation, and statistical analysis.
Experience with data cleaning, validation, profiling, and quality assurance.
Strong understanding of descriptive statistics, hypothesis testing, trend analysis, and business performance measurement.
Ability to interpret business requirements and translate them into analytical solutions.
Experience creating executive dashboards, scorecards, and KPI reporting.
Strong analytical thinking and problem-solving abilities.
Excellent communication and presentation skills with the ability to explain technical findings to non-technical audiences.
Experience working in Agile or cross-functional business environments.
Ability to manage multiple priorities while meeting project deadlines.

Preferred Qualifications

Master's degree in business analytics, data science, statistics, computer science, or a related discipline.
Experience with cloud data platforms such as Snowflake, Google BigQuery, Amazon Redshift, Azure Synapse Analytics, or Databricks.
Experience working with ETL/ELT processes and data integration tools.
Familiarity with dbt, Apache Airflow, or similar data transformation and orchestration tools.
Experience using cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform.
Knowledge of statistical modeling, predictive analytics, and forecasting techniques.
Experience supporting A/B testing, experimentation frameworks, and causal analysis.
Familiarity with data governance, metadata management, and data quality frameworks.
Experience working with APIs and integrating external data sources.
Knowledge of version control systems such as Git.
Experience with scripting and automation using Python, Pandas, NumPy, or Jupyter Notebooks.
Familiarity with machine learning concepts and model evaluation techniques.
Experience working in SaaS, fintech, healthcare, e-commerce, enterprise software, or high-growth technology organizations.
Professional certifications in Tableau, Microsoft Power BI, Microsoft Azure Data, AWS Analytics, Google Cloud Data Analytics, or equivalent certifications.
Demonstrated ability to influence business decisions through data-driven recommendations.

Technologies