Data Analytics Specialist
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About
Global Administration Data Analytics Specialist Job ID: 95359 As a Data Analytics Specialist, you will be at the forefront of transforming data into actionable insights that drive global service delivery enhancements. Do you want to work on complex and pressing challenges-the kind that bring together curious, ambitious, and determined leaders who strive to become better every day?
If this sounds like you, you've come to the right place.
Your Impact In this role, you will provide critical insights to service line leaders, empowering them to make data-driven decisions that improve service delivery. You will develop and maintain advanced analytics solutions, dashboards, and models to monitor and forecast operational performance. Identifying trends and opportunities for improvement, you will proactively address issues with relevant teams. Enhancing operational efficiency through automation and machine learning, you will ensure data accuracy and compliance. You will communicate insights and recommendations clearly to stakeholders, helping them understand the implications of the data. Additionally, you will promote best practices in analytics and foster a culture of data literacy and self-reliance among stakeholders.
Your Growth As you excel in this role, you will deepen your expertise in data analytics, machine learning, and reporting tools. You will gain exposure to a variety of business functions and their performance metrics. Developing your skills in stakeholder management and communication, you will present insights to leadership. You will enhance your ability to work with cutting-edge technologies and methodologies in data analytics. Playing a pivotal role in shaping the data-driven culture of the organization, you will continuously grow and expand your professional capabilities.
Your Qualifications And Skills
Bachelor's or master's degree in data analytics, statistics, mathematics, computer science, social science research, operations research, econometrics, or a related field. 5+ years of professional experience in applied analytics or research. Proficiency in data visualization tools like Tableau and experience in creating and maintaining dashboards and reports. Expertise in applying statistical methods, analytics, and machine learning using tools such as R, Python, Alteryx, etc. Understanding of generative AI applications in data analytics. Strong skills in SQL and experience with real-world data extraction and cleaning from databases like Oracle, SQL Server, Snowflake, AWS. Familiarity with Agile methodologies and tools like Jira, Trello. Knowledge of digital product lifecycle and experience collaborating with designers, technical, and business teams. Excellent analytical and problem-solving abilities, with the capacity to handle ambiguity and draw meaningful conclusions. Strong communication skills to articulate insights, implications, and recommendations effectively. Ability to manage multiple projects and prioritize tasks under pressure. A flexible working style, capable of working both independently and collaboratively. A customer-focused mindset with a commitment to quality. The ability to navigate and influence various stakeholder groups effectively. Readiness to work from the office up to 5 days a week.
Please review the additional requirements regarding essential job functions of McKinsey colleagues.
Apply Now Apply Later
FOR U.S. APPLICANTS: McKinsey & Company is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by applicable law.
Certain US jurisdictions require McKinsey & Company to include a reasonable estimate of the salary for this role. For new joiners for this role in the United States, including all office locations where the job may be performed, a reasonable estimated range is $123,200 - $126,100 USD -to help you understand what you can expect. This reflects our best estimate of the lowest to highest [salary/hourly wages] for this role at the time of this posting, ensuring you have a clear picture right from the start, though it's important to remember that actual salaries may vary. Factors like your office location, your unique blend of experience and skills, start date and our current organizational needs all play a part in determining the final figure. Certain roles are also eligible for bonuses, subject to McKinsey's discretion and based on factors such as individual and/or organizational performance.
Additionally, we provide a comprehensive benefits package that reflects our commitment to the wellness of our colleagues and their families. This includes medical, mental health, dental and vision coverage, telemedicine services, life, accident and disability insurance, parental leave and family planning benefits, caregiving resources, a generous retirement contributions program, financial guidance, and paid time off.
FOR NON-U.S. APPLICANTS: McKinsey & Company is an Equal Opportunity employer. For additional details regarding our global EEO policy and diversity initiatives, please visit our McKinsey Careers and Diversity & Inclusion sites.
Job Skill Group - N/A
Job Skill Code - PLDS - Data Analytics Specialist
Function - Firm Administration;Technology
Industry -
Post to LinkedIn - Yes
Posted to LinkedIn Date - Tue Mar 18 00:00:00 GMT 2025
LinkedIn Posting City - Tampa
LinkedIn Posting State/Province - Florida
LinkedIn Posting Country - United States
LinkedIn Job Title - Data Analytics Specialist
LinkedIn Function - Analyst;Other
LinkedIn Industry - Management Consulting
LinkedIn Seniority Level - Associate
Nice-to-have skills
Global Administration Data Analytics Specialist Job ID: 95359 As a Data Analytics Specialist, you will be at the forefront of transforming data into actionable insights that drive global service delivery enhancements. Do you want to work on complex and pressing challenges-the kind that bring together curious, ambitious, and determined leaders who strive to become better every day?
If this sounds like you, you've come to the right place.
Your Impact In this role, you will provide critical insights to service line leaders, empowering them to make data-driven decisions that improve service delivery. You will develop and maintain advanced analytics solutions, dashboards, and models to monitor and forecast operational performance. Identifying trends and opportunities for improvement, you will proactively address issues with relevant teams. Enhancing operational efficiency through automation and machine learning, you will ensure data accuracy and compliance. You will communicate insights and recommendations clearly to stakeholders, helping them understand the implications of the data. Additionally, you will promote best practices in analytics and foster a culture of data literacy and self-reliance among stakeholders.
Your Growth As you excel in this role, you will deepen your expertise in data analytics, machine learning, and reporting tools. You will gain exposure to a variety of business functions and their performance metrics. Developing your skills in stakeholder management and communication, you will present insights to leadership. You will enhance your ability to work with cutting-edge technologies and methodologies in data analytics. Playing a pivotal role in shaping the data-driven culture of the organization, you will continuously grow and expand your professional capabilities.
Your Qualifications And Skills
Bachelor's or master's degree in data analytics, statistics, mathematics, computer science, social science research, operations research, econometrics, or a related field. 5+ years of professional experience in applied analytics or research. Proficiency in data visualization tools like Tableau and experience in creating and maintaining dashboards and reports. Expertise in applying statistical methods, analytics, and machine learning using tools such as R, Python, Alteryx, etc. Understanding of generative AI applications in data analytics. Strong skills in SQL and experience with real-world data extraction and cleaning from databases like Oracle, SQL Server, Snowflake, AWS. Familiarity with Agile methodologies and tools like Jira, Trello. Knowledge of digital product lifecycle and experience collaborating with designers, technical, and business teams. Excellent analytical and problem-solving abilities, with the capacity to handle ambiguity and draw meaningful conclusions. Strong communication skills to articulate insights, implications, and recommendations effectively. Ability to manage multiple projects and prioritize tasks under pressure. A flexible working style, capable of working both independently and collaboratively. A customer-focused mindset with a commitment to quality. The ability to navigate and influence various stakeholder groups effectively. Readiness to work from the office up to 5 days a week.
Please review the additional requirements regarding essential job functions of McKinsey colleagues.
Apply Now Apply Later
FOR U.S. APPLICANTS: McKinsey & Company is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by applicable law.
Certain US jurisdictions require McKinsey & Company to include a reasonable estimate of the salary for this role. For new joiners for this role in the United States, including all office locations where the job may be performed, a reasonable estimated range is $123,200 - $126,100 USD -to help you understand what you can expect. This reflects our best estimate of the lowest to highest [salary/hourly wages] for this role at the time of this posting, ensuring you have a clear picture right from the start, though it's important to remember that actual salaries may vary. Factors like your office location, your unique blend of experience and skills, start date and our current organizational needs all play a part in determining the final figure. Certain roles are also eligible for bonuses, subject to McKinsey's discretion and based on factors such as individual and/or organizational performance.
Additionally, we provide a comprehensive benefits package that reflects our commitment to the wellness of our colleagues and their families. This includes medical, mental health, dental and vision coverage, telemedicine services, life, accident and disability insurance, parental leave and family planning benefits, caregiving resources, a generous retirement contributions program, financial guidance, and paid time off.
FOR NON-U.S. APPLICANTS: McKinsey & Company is an Equal Opportunity employer. For additional details regarding our global EEO policy and diversity initiatives, please visit our McKinsey Careers and Diversity & Inclusion sites.
Job Skill Group - N/A
Job Skill Code - PLDS - Data Analytics Specialist
Function - Firm Administration;Technology
Industry -
Post to LinkedIn - Yes
Posted to LinkedIn Date - Tue Mar 18 00:00:00 GMT 2025
LinkedIn Posting City - Tampa
LinkedIn Posting State/Province - Florida
LinkedIn Posting Country - United States
LinkedIn Job Title - Data Analytics Specialist
LinkedIn Function - Analyst;Other
LinkedIn Industry - Management Consulting
LinkedIn Seniority Level - Associate
Nice-to-have skills
- Tableau
- SQL
- Oracle
- SQL Server
- AWS
- R
- Python
- Alteryx
- JIRA
- Trello
- Arizona, United States
- Data Engineer
- Fullstack
- Data Infrastructure
- English
About
Global Administration Data Analytics Specialist Job ID: 95359 As a Data Analytics Specialist, you will be at the forefront of transforming data into actionable insights that drive global service delivery enhancements. Do you want to work on complex and pressing challenges-the kind that bring together curious, ambitious, and determined leaders who strive to become better every day?
If this sounds like you, you've come to the right place.
Your Impact In this role, you will provide critical insights to service line leaders, empowering them to make data-driven decisions that improve service delivery. You will develop and maintain advanced analytics solutions, dashboards, and models to monitor and forecast operational performance. Identifying trends and opportunities for improvement, you will proactively address issues with relevant teams. Enhancing operational efficiency through automation and machine learning, you will ensure data accuracy and compliance. You will communicate insights and recommendations clearly to stakeholders, helping them understand the implications of the data. Additionally, you will promote best practices in analytics and foster a culture of data literacy and self-reliance among stakeholders.
Your Growth As you excel in this role, you will deepen your expertise in data analytics, machine learning, and reporting tools. You will gain exposure to a variety of business functions and their performance metrics. Developing your skills in stakeholder management and communication, you will present insights to leadership. You will enhance your ability to work with cutting-edge technologies and methodologies in data analytics. Playing a pivotal role in shaping the data-driven culture of the organization, you will continuously grow and expand your professional capabilities.
Your Qualifications And Skills
Bachelor's or master's degree in data analytics, statistics, mathematics, computer science, social science research, operations research, econometrics, or a related field. 5+ years of professional experience in applied analytics or research. Proficiency in data visualization tools like Tableau and experience in creating and maintaining dashboards and reports. Expertise in applying statistical methods, analytics, and machine learning using tools such as R, Python, Alteryx, etc. Understanding of generative AI applications in data analytics. Strong skills in SQL and experience with real-world data extraction and cleaning from databases like Oracle, SQL Server, Snowflake, AWS. Familiarity with Agile methodologies and tools like Jira, Trello. Knowledge of digital product lifecycle and experience collaborating with designers, technical, and business teams. Excellent analytical and problem-solving abilities, with the capacity to handle ambiguity and draw meaningful conclusions. Strong communication skills to articulate insights, implications, and recommendations effectively. Ability to manage multiple projects and prioritize tasks under pressure. A flexible working style, capable of working both independently and collaboratively. A customer-focused mindset with a commitment to quality. The ability to navigate and influence various stakeholder groups effectively. Readiness to work from the office up to 5 days a week.
Please review the additional requirements regarding essential job functions of McKinsey colleagues.
Apply Now Apply Later
FOR U.S. APPLICANTS: McKinsey & Company is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by applicable law.
Certain US jurisdictions require McKinsey & Company to include a reasonable estimate of the salary for this role. For new joiners for this role in the United States, including all office locations where the job may be performed, a reasonable estimated range is $123,200 - $126,100 USD -to help you understand what you can expect. This reflects our best estimate of the lowest to highest [salary/hourly wages] for this role at the time of this posting, ensuring you have a clear picture right from the start, though it's important to remember that actual salaries may vary. Factors like your office location, your unique blend of experience and skills, start date and our current organizational needs all play a part in determining the final figure. Certain roles are also eligible for bonuses, subject to McKinsey's discretion and based on factors such as individual and/or organizational performance.
Additionally, we provide a comprehensive benefits package that reflects our commitment to the wellness of our colleagues and their families. This includes medical, mental health, dental and vision coverage, telemedicine services, life, accident and disability insurance, parental leave and family planning benefits, caregiving resources, a generous retirement contributions program, financial guidance, and paid time off.
FOR NON-U.S. APPLICANTS: McKinsey & Company is an Equal Opportunity employer. For additional details regarding our global EEO policy and diversity initiatives, please visit our McKinsey Careers and Diversity & Inclusion sites.
Job Skill Group - N/A
Job Skill Code - PLDS - Data Analytics Specialist
Function - Firm Administration;Technology
Industry -
Post to LinkedIn - Yes
Posted to LinkedIn Date - Tue Mar 18 00:00:00 GMT 2025
LinkedIn Posting City - Tampa
LinkedIn Posting State/Province - Florida
LinkedIn Posting Country - United States
LinkedIn Job Title - Data Analytics Specialist
LinkedIn Function - Analyst;Other
LinkedIn Industry - Management Consulting
LinkedIn Seniority Level - Associate
Nice-to-have skills
Global Administration Data Analytics Specialist Job ID: 95359 As a Data Analytics Specialist, you will be at the forefront of transforming data into actionable insights that drive global service delivery enhancements. Do you want to work on complex and pressing challenges-the kind that bring together curious, ambitious, and determined leaders who strive to become better every day?
If this sounds like you, you've come to the right place.
Your Impact In this role, you will provide critical insights to service line leaders, empowering them to make data-driven decisions that improve service delivery. You will develop and maintain advanced analytics solutions, dashboards, and models to monitor and forecast operational performance. Identifying trends and opportunities for improvement, you will proactively address issues with relevant teams. Enhancing operational efficiency through automation and machine learning, you will ensure data accuracy and compliance. You will communicate insights and recommendations clearly to stakeholders, helping them understand the implications of the data. Additionally, you will promote best practices in analytics and foster a culture of data literacy and self-reliance among stakeholders.
Your Growth As you excel in this role, you will deepen your expertise in data analytics, machine learning, and reporting tools. You will gain exposure to a variety of business functions and their performance metrics. Developing your skills in stakeholder management and communication, you will present insights to leadership. You will enhance your ability to work with cutting-edge technologies and methodologies in data analytics. Playing a pivotal role in shaping the data-driven culture of the organization, you will continuously grow and expand your professional capabilities.
Your Qualifications And Skills
Bachelor's or master's degree in data analytics, statistics, mathematics, computer science, social science research, operations research, econometrics, or a related field. 5+ years of professional experience in applied analytics or research. Proficiency in data visualization tools like Tableau and experience in creating and maintaining dashboards and reports. Expertise in applying statistical methods, analytics, and machine learning using tools such as R, Python, Alteryx, etc. Understanding of generative AI applications in data analytics. Strong skills in SQL and experience with real-world data extraction and cleaning from databases like Oracle, SQL Server, Snowflake, AWS. Familiarity with Agile methodologies and tools like Jira, Trello. Knowledge of digital product lifecycle and experience collaborating with designers, technical, and business teams. Excellent analytical and problem-solving abilities, with the capacity to handle ambiguity and draw meaningful conclusions. Strong communication skills to articulate insights, implications, and recommendations effectively. Ability to manage multiple projects and prioritize tasks under pressure. A flexible working style, capable of working both independently and collaboratively. A customer-focused mindset with a commitment to quality. The ability to navigate and influence various stakeholder groups effectively. Readiness to work from the office up to 5 days a week.
Please review the additional requirements regarding essential job functions of McKinsey colleagues.
Apply Now Apply Later
FOR U.S. APPLICANTS: McKinsey & Company is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by applicable law.
Certain US jurisdictions require McKinsey & Company to include a reasonable estimate of the salary for this role. For new joiners for this role in the United States, including all office locations where the job may be performed, a reasonable estimated range is $123,200 - $126,100 USD -to help you understand what you can expect. This reflects our best estimate of the lowest to highest [salary/hourly wages] for this role at the time of this posting, ensuring you have a clear picture right from the start, though it's important to remember that actual salaries may vary. Factors like your office location, your unique blend of experience and skills, start date and our current organizational needs all play a part in determining the final figure. Certain roles are also eligible for bonuses, subject to McKinsey's discretion and based on factors such as individual and/or organizational performance.
Additionally, we provide a comprehensive benefits package that reflects our commitment to the wellness of our colleagues and their families. This includes medical, mental health, dental and vision coverage, telemedicine services, life, accident and disability insurance, parental leave and family planning benefits, caregiving resources, a generous retirement contributions program, financial guidance, and paid time off.
FOR NON-U.S. APPLICANTS: McKinsey & Company is an Equal Opportunity employer. For additional details regarding our global EEO policy and diversity initiatives, please visit our McKinsey Careers and Diversity & Inclusion sites.
Job Skill Group - N/A
Job Skill Code - PLDS - Data Analytics Specialist
Function - Firm Administration;Technology
Industry -
Post to LinkedIn - Yes
Posted to LinkedIn Date - Tue Mar 18 00:00:00 GMT 2025
LinkedIn Posting City - Tampa
LinkedIn Posting State/Province - Florida
LinkedIn Posting Country - United States
LinkedIn Job Title - Data Analytics Specialist
LinkedIn Function - Analyst;Other
LinkedIn Industry - Management Consulting
LinkedIn Seniority Level - Associate
Nice-to-have skills
- Tableau
- SQL
- Oracle
- SQL Server
- AWS
- R
- Python
- Alteryx
- JIRA
- Trello
- Arizona, United States
- Data Engineer
- Fullstack
- Data Infrastructure
- English