What are the responsibilities and job description for the Data Analyst position at Sonimus?
Job Overview
We’re hiring a sharp, detail-driven Data Analyst to help transform raw data into meaningful insights that guide key business decisions. You’ll work across multiple teams, build dashboards, analyze trends, and deliver recommendations that directly impact growth and performance.
Responsibilities
Collect, validate, and organize large datasets from various sources.
Build dashboards, reports, and automated data pipelines for real-time insights.
Identify patterns, trends, and anomalies to support strategic decision-making.
Conduct deep-dive analysis on business performance and user behavior.
Develop predictive models and run A/B tests to validate assumptions.
Collaborate with Product, Engineering, Marketing, and Finance teams.
Maintain data accuracy, documentation, and reporting consistency.
Present findings in a simple, visual, and actionable format for stakeholders.
Requirements
Strong hands-on experience with SQL and Excel/Google Sheets.
Proficiency in Python or R for data manipulation and analysis.
Experience with BI tools like Tableau, Power BI, Looker, or similar.
Solid understanding of statistics, experimentation, and data modeling.
Familiarity with cloud data warehouses (BigQuery, Redshift, Snowflake).
Exceptional analytical, problem-solving, and communication skills.
Bachelor’s degree in Data Science, Statistics, Computer Science, or related field (or equivalent real-world experience).
Compensation
Competitive pay depending on experience and skill level.
Performance-based bonuses.
Benefits package may include health coverage, PTO, and remote flexibility (based on company policy).
Growth opportunities into Senior Analyst, Data Scientist, or Analytics Manager roles.
Credit Score Requirements
Due to the financial and data-sensitive nature of this role, all shortlisted applicants must complete a standard background check and credit score verification before interview scheduling. Only verified applicants will be moved forward for final review.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
We’re hiring a sharp, detail-driven Data Analyst to help transform raw data into meaningful insights that guide key business decisions. You’ll work across multiple teams, build dashboards, analyze trends, and deliver recommendations that directly impact growth and performance.
Responsibilities
Collect, validate, and organize large datasets from various sources.
Build dashboards, reports, and automated data pipelines for real-time insights.
Identify patterns, trends, and anomalies to support strategic decision-making.
Conduct deep-dive analysis on business performance and user behavior.
Develop predictive models and run A/B tests to validate assumptions.
Collaborate with Product, Engineering, Marketing, and Finance teams.
Maintain data accuracy, documentation, and reporting consistency.
Present findings in a simple, visual, and actionable format for stakeholders.
Requirements
Strong hands-on experience with SQL and Excel/Google Sheets.
Proficiency in Python or R for data manipulation and analysis.
Experience with BI tools like Tableau, Power BI, Looker, or similar.
Solid understanding of statistics, experimentation, and data modeling.
Familiarity with cloud data warehouses (BigQuery, Redshift, Snowflake).
Exceptional analytical, problem-solving, and communication skills.
Bachelor’s degree in Data Science, Statistics, Computer Science, or related field (or equivalent real-world experience).
Compensation
Competitive pay depending on experience and skill level.
Performance-based bonuses.
Benefits package may include health coverage, PTO, and remote flexibility (based on company policy).
Growth opportunities into Senior Analyst, Data Scientist, or Analytics Manager roles.
Credit Score Requirements
Due to the financial and data-sensitive nature of this role, all shortlisted applicants must complete a standard background check and credit score verification before interview scheduling. Only verified applicants will be moved forward for final review.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.