Data Analyst

Posted 2024-11-11

View full description

💎 Seniority level: Proven experience as a Data Analyst or in a similar role.

📍 Location: Latam, Canada

🔍 Industry: Technology

🏢 Company: Launchpad Technologies

⏳ Experience: Proven experience as a Data Analyst or in a similar role.

🪄 Skills: SQLTableauCommunication Skills

Requirements:

Bachelor's degree in a relevant field (e.g., Statistics, Mathematics, Computer Science).
Proven experience as a Data Analyst or in a similar role.
Proficient in data visualization tools (e.g., Tableau, Power BI).
Strong analytical and problem-solving skills.
Proficient in SQL and Excel; knowledge of Python or R is a plus.
Excellent communication skills with the ability to present complex information in a clear and concise manner.

Responsibilities:

Analyze large datasets to extract meaningful insights and trends.
Develop and maintain reports and dashboards to support business decision-making.
Collaborate with cross-functional teams to understand data needs and provide analytical support.
Identify and interpret trends or patterns in complex data sets.
Design and implement data collection systems and strategies.
Cleanse and preprocess data for analysis purposes.
Perform ad-hoc analysis and present findings to key stakeholders.

Apply

Related Jobs

Apply

🔥 Finance Data Analyst - (100% remote-friendly within Europe)

Posted 2024-11-20

📍 Europe

🔍 Digital healthcare

Bachelor's degree in Economics, Statistics, Econometrics or a related field.
Demonstrable experience using SQL to derive actionable insights.
Knowledge of Python/R and eagerness to learn more.
Experience with statistical modeling and descriptive statistics.
Experience working with internal stakeholders.
Strong written and oral communication skills in English; proficiency in other languages is a plus.
Strong attention to detail and ability to analyze and report large volumes of financial data.

Track key financial metrics and KPIs.
Develop and maintain comprehensive financial dashboards using advanced BI tools.
Provide insights into financial performance, trends, and variances.
Ensure timely collection of financial data from systems like Oracle NetSuite.
Analyze profitability and cost efficiency.
Support audits and regulatory documentation.
Automate repetitive financial tasks and implement process improvements.
Utilize BI tools for dynamic, interactive reports.

SQLBusiness IntelligenceOracleSAPTableauCommunication SkillsAccountingAttention to detailDocumentationCompliance

Posted 2024-11-20

Apply

🔥 Finance Data Analyst - (100% remote-friendly within Europe)

Posted 2024-11-19

📍 Europe

🔍 Digital healthcare

Bachelor's degree in Economics, Statistics, Econometrics, or a related field.
Demonstrable experience using SQL to derive actionable insights.
Knowledge of Python/R and interest in expanding knowledge.
Experience with statistical modeling and descriptive statistics.
Partnership experience with internal stakeholders.
Experience in leading and executing end-to-end BI projects.
Strong communication skills in English; proficiency in German, Spanish, or Italian is a plus.
Ability to analyze and report large volumes of financial data accurately.

Track key financial metrics and KPIs to align with organizational goals.
Develop and maintain comprehensive financial dashboards using BI tools.
Provide insights into financial performance, trends, and variances.
Analyze profitability and cost efficiency to identify improvement areas.
Support audits and regulatory documentation.
Automate repetitive financial tasks for improved efficiency.
Utilize BI tools like Tableau for dynamic reports.

SQLBusiness IntelligenceOracleSAPTableauCommunication SkillsAccountingAttention to detailDocumentationCompliance

Posted 2024-11-19

Apply

🔥 Finance Data Analyst - (100% remote-friendly within Europe)

Posted 2024-11-19

📍 Europe

🧭 Full-Time

🔍 Digital healthcare

Bachelor's degree in Economics, Statistics, Econometrics or a related field.
Demonstrable experience in using SQL to derive actionable insights.
Knowledge of Python/R and willingness to expand knowledge.
Experience with statistical modeling and descriptive statistics.
Ability to gather, organize, analyze, and report large volumes of financial data.
Strong attention to detail and high-quality work efficiency.
Strong analytical and problem-solving skills.
Experience in partnership with internal stakeholders.

Track key financial metrics and KPIs.
Develop and maintain comprehensive financial dashboards using advanced BI tools.
Provide insights into financial performance and trends.
Ensure accurate and timely collection of financial data.
Analyze profitability and cost efficiency.
Support audits and regulatory documentation.
Automate repetitive financial tasks to improve efficiency.
Utilize BI tools for dynamic reports and dashboards.

SQLBusiness IntelligenceOracleTableauCommunication SkillsAccountingAttention to detailDocumentationCompliance

Posted 2024-11-19

Apply

🔥 Senior Data Analyst

Posted 2024-11-16

📍 France, Europe

🔍 Fintech

The job description does not specify a list of required skills or qualities, encouraging candidates to assess their fit.

Proactively use data to identify opportunities to grow business or improve processes.
Act as a sparring partner for Product & Operation leaders, addressing key product and business questions using data.
Drive a self-service approach to analytics while understanding colleagues’ data needs.
Contribute to the development of data models in the Data Warehouse using dbt.
Shape the Data Engineering roadmap for an optimal data platform experience.

PythonStrategyData engineeringCollaboration

Posted 2024-11-16

Apply

🔥 Data Analyst (SmartDigital)

Posted 2024-11-15

📍 United States, Canada

🔍 Automotive data and analytics

🏢 Company: J.D. Power

Excellent verbal and written communication skills.
Ability to work under pressure in a changing environment.
Strong self-management and analytical abilities.
High accuracy and attention to detail in decision-making.
Experience as a Data Analyst for a minimum of 3 years, including SQL Development.
Advanced SQL skills with query optimization in large datasets.
Command of QlikView for data storytelling and visualizations.

Analyze and process automotive data to meet accuracy, timeliness, and completeness guidelines.
Develop, test, improve, and maintain new and existing databases.
Process complex SQL queries and reports in a timely and accurate manner.
Perform advanced analyses to understand marketing metrics.
Participate in policy development to ensure data accuracy and compliance.
Act as a subject matter expert in the department.

PostgreSQLSQLBusiness IntelligenceQlikViewData scienceCommunication SkillsProblem SolvingAttention to detailTime ManagementWritten communicationCompliance

Posted 2024-11-15

Apply

🔥 Data Analyst

Posted 2024-11-13

📍 North America

🧭 Full-Time

💸 120000 - 155000 USD per year

🔍 Payments

🏢 Company: Forage

3-5 years experience in Business Intelligence Engineering, Data Engineering or Data Analysis.
Experience running large independent data projects.
Strong experience with SQL.
Hands-on experience with data visualization tools (e.g. Looker, Tableau).
Understanding of data pipeline design.
Ability to work cross-functionally with operations, project management and engineering teams.

Support the design and implementation of the company’s data pipeline and ETL processes.
Collaborate with engineering, product, and business teams to empower them to make data-driven decisions.
Evaluate and recommend data infrastructure and analytics tools.
Develop, test, and optimize SQL and other queries for actionable insights.

PythonSQLBusiness IntelligenceData AnalysisETLTableauData analysisData engineering

Posted 2024-11-13

Apply

🔥 Senior Data Analyst

Posted 2024-11-08

📍 Canada

🔍 Healthcare technology

Strong experience with SQL, dbt, Looker, and Snowflake.
Preferably experience in a fast-growing software company.
Passion for transparency, accuracy, and digging deep into data.

Deliver consistent, meaningful insights across Jane departments.
Lead analytical projects and collaborate with product managers, marketers, engineers, and data analysts.
Mentor junior analysts and promote data-driven decision-making throughout the organization.

LeadershipSQLData AnalysisSnowflakeVue.JsData analysisVue.jsCommunication SkillsAnalytical SkillsCollaborationMicrosoft Excel

Posted 2024-11-08

Apply

🔥 Data Analyst

Posted 2024-11-07

📍 US, Canada, Europe

🧭 Full-Time

💸 140000 - 160000 USD per year

🔍 AI and machine learning

🏢 Company: RunPod, Inc.

Bachelor’s degree in Data Science, Statistics, Computer Science, or a related field. A Master’s degree is a plus.
At least three years of experience in a data analytics role, preferably with user and machine data exposure.
Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
Proficiency in data analysis tools and programming languages such as SQL, Python, and R.
Experience with data visualization tools (e.g., Mode, Tableau, or Power BI).
Experience with data warehousing platforms (e.g., Snowflake, Athena, or Redshift).
Excellent verbal and written communication skills, with the ability to translate complex data into actionable insights.
Strong problem-solving skills.
Successful completion of a background check.

Analyze large, complex datasets to extract actionable insights about users, product performance, and operational efficiency.
Work closely with cross-functional teams, including engineering, marketing, operations, and sales, to support data-driven decision-making.
Develop and implement data collection systems and strategies that optimize statistical efficiency and data quality.
Identify, analyze, and interpret trends or patterns in complex data sets.
Prepare reports and dashboards that use relevant data to communicate trends, patterns, and predictions.
Collaborate with engineering teams to enhance data collection and analysis processes.
Present findings and recommendations to stakeholders and executive leadership clearly and compellingly.
Stay abreast of industry trends and best practices in data analysis and data science.

PythonSQLData AnalysisSnowflakeTableauData analysisData scienceCommunication SkillsAnalytical SkillsCollaboration

Posted 2024-11-07

Apply

🔥 Data Analyst

Posted 2024-11-07

📍 Canada

🔍 Fintech

🏢 Company: Borrowell

1+ years working experience with SQL to solve business problems.
Experience using data to tell a story that is comprehensive for technical and non-technical audiences.
Experience with analytics tools such as Looker, Tableau, or similar (we use Looker).
Experience with A/B testing.
Strong statistical knowledge.

Establish and maintain KPIs and supporting metrics to be used across the project to track performance.
Analyze data from different sources.
Collaborate across functions to identify data analytics problems and execute solutions with data-driven insights.
Translate product requirements into clear and actionable data tasks.
Generate visualizations and use data insights to make recommendations and achieve goals.
Perform A/B tests to ensure experiment results are reliable, valid, and accurate.

SQLProduct Development

Posted 2024-11-07

Apply

🔥 Global Data Analyst

Posted 2024-11-07

📍 South Africa, Poland, Canada

🔍 Legal Services

🏢 Company: Dentons

Bachelor’s degree (or equivalent) in Information Technology, Computer Science, or a related field.
Exceptional analytical and problem-solving acumen.
Strong interpersonal and communication skills.
Deep understanding of global IT infrastructure and data design principles.
Strong business analyst skills.
Experience querying REST APIs and writing complex SQL queries.
Knowledge of ETL/BI layer analysis and experience with relational and non-relational databases.
Experience using C#.NET, Node JS, TypeScript, Vue.js, React, Angular is an asset.
Familiarity with MS Azure, Data Factory, Logic Apps, and Power Apps preferred.
Attention to detail, understanding of financial data processes, and machine learning concepts.
Excellent written and verbal English communication skills.
Ability to work well in a multicultural team environment.

Analyze output of integration rules and communicate impact to stakeholders.
Identify problems to be solved by integration developers and monitor their completion.
Perform analysis on regional and global data directories and conduct gap analysis.
Monitor processing issues and misaligned data, working with stakeholders to resolve them quickly.
Translate user requirements into technical queries.
Document technical requirements for global software initiatives ensuring compatibility.
Participate in data-related discussions providing technical guidance on compliance.
Collaborate on developing data structure requirements for new business needs.
Maintain well-documented descriptions of key metrics and update data operations documents.
Provide insights into technology trends in data systems, particularly AI integration.

Problem SolvingDocumentation

Posted 2024-11-07

Apply

Data Analyst

Requirements:

Responsibilities:

Related Jobs

🔧 Requirements

💡 Responsibilities

🔧 Requirements

💡 Responsibilities

🔧 Requirements

💡 Responsibilities

🔧 Requirements

💡 Responsibilities

🔧 Requirements

💡 Responsibilities

🔧 Requirements

💡 Responsibilities

🔧 Requirements

💡 Responsibilities

🔧 Requirements

💡 Responsibilities

🔧 Requirements

💡 Responsibilities

🔧 Requirements

💡 Responsibilities