Infrastructure & Capital Projects - Senior Data Analyst, COM
About the role
-
(Internal Title: Business System Configuration / Development II)
- Implement and leverage Power Automate to automate processes and ensure proper data management practices by automating workflows.
- Collaborate with the team in various data management tasks, including data cleansing, transformation, modeling, and analytics.
- Assist in maintaining data catalog, business glossaries, and data dictionaries to ensure data consistency, integrity, and standardization.
- Support the development and maintenance of data engineering metrics dashboards and data mobilization dashboards to monitor data performance effectively.
- Utilize Python, DAX, PowerBi, and T-SQL proficiently to conduct data analysis and derive meaningful insights.
- Collaborate with cross-functional teams to perform data analytics tasks and provide valuable insights for data-driven decision-making.
- Create and develop script to manage ETL pipelines using Python and Power BI to efficiently collect and process data from various sources.
- Work with Data Science Manager on addressing existing data debts within the current systems to improve data accuracy and reliability
- Participate in the creation of insightful Data About Data visualizations using Power BI, enabling an understanding of as-is, to-be, and in-progress data assets
- Create content and conduct training sessions for various teams and communicate effectively with different users and provide support in order to transform the program into self-analytics ecosystem.
- Provide technical support and assure data governance by managing access security and apply row level security
- Assist the Data Science Manager in tasks related to data transformation, data analytics, Dataflow, and Microsoft Fabric.
-
Working Conditions:
-
Onsite at Client site: this role's work location is onsite with our client and partners to enable delivery and cultivate our client relationships.
-
-
Bachelor’s degree (with at least 3-4 years’ experience) or Master's degree with (with at least 1-2 years’ experience) in data related domain, computer science, statistics, or a related field.
-
Proven experience as a Data Analyst, with a strong background in data management, analysis, and visualization.
-
Holding recognized Project Management certification (CAPM, PMP, etc.).
BONUS POINTS IF YOU HAVE:
- Proficiency in Python, DAX, PowerBi, and T-SQL, showcasing the ability to handle complex data-related tasks.
- In-depth knowledge of data cataloging, business glossaries, and data dictionaries, ensuring data accuracy and adherence to best practices.
- Strong problem-solving skills and keen attention to detail, ensuring accurate and actionable data insights.
- Excellent communication and interpersonal skills, enabling effective collaboration with team members and stakeholders.
- Strong team spirit and a positive attitude, fostering a collaborative and supportive work environment.
- Strong knowledge of data structures and data modeling concepts.
- Familiarity with ETL processes and tools, with proficiency in Python and Power BI being advantageous.
- Detail-oriented and highly organized, with a keen eye for data accuracy and quality.
- Strong problem-solving and analytical skills.
- Self-motivated and eager to learn about data engineering and data science practices.
- Ability to arrange priorities and escalate competing risks to meet deadlines
- Keen eye for detail and adept problem-solving abilities
- Must have demonstrated experience relaying and receiving information (written and verbal)
- Effective skills in Microsoft Office
- Equipped to work independently and as part of a team
About Accenture
Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale.
We are a talent and innovation-led company serving clients in more than 120 countries. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.
This LinkedIn company page is moderated. When engaging with Accenture, we encourage everyone to:
- Use common courtesy and be respectful of others.
- Create your own original content and avoid content that you know to be fraudulent.
- Never repost someone else's copyrighted work, unless you have permission.
- Never post personal, identifying, or confidential information.
We reserve the right to delete comments or posts we deem to be:
- Profane, obscene, inappropriate, offensive, abusive material.
- Spam, repeated comments and commercial messages and personal advertisements.
- Discriminatory or that contain hateful speech of any kind regarding age, gender, race, religion, nationality, sexual orientation, gender identity or disability.
- Threats; personal attacks; abusive, defamatory, derogatory, or inflammatory language; or stalking or harassment of any individual, entity or organization.
- False, inaccurate, libelous, or otherwise misleading in any way.
Infrastructure & Capital Projects - Senior Data Analyst, COM
About the role
-
(Internal Title: Business System Configuration / Development II)
- Implement and leverage Power Automate to automate processes and ensure proper data management practices by automating workflows.
- Collaborate with the team in various data management tasks, including data cleansing, transformation, modeling, and analytics.
- Assist in maintaining data catalog, business glossaries, and data dictionaries to ensure data consistency, integrity, and standardization.
- Support the development and maintenance of data engineering metrics dashboards and data mobilization dashboards to monitor data performance effectively.
- Utilize Python, DAX, PowerBi, and T-SQL proficiently to conduct data analysis and derive meaningful insights.
- Collaborate with cross-functional teams to perform data analytics tasks and provide valuable insights for data-driven decision-making.
- Create and develop script to manage ETL pipelines using Python and Power BI to efficiently collect and process data from various sources.
- Work with Data Science Manager on addressing existing data debts within the current systems to improve data accuracy and reliability
- Participate in the creation of insightful Data About Data visualizations using Power BI, enabling an understanding of as-is, to-be, and in-progress data assets
- Create content and conduct training sessions for various teams and communicate effectively with different users and provide support in order to transform the program into self-analytics ecosystem.
- Provide technical support and assure data governance by managing access security and apply row level security
- Assist the Data Science Manager in tasks related to data transformation, data analytics, Dataflow, and Microsoft Fabric.
-
Working Conditions:
-
Onsite at Client site: this role's work location is onsite with our client and partners to enable delivery and cultivate our client relationships.
-
-
Bachelor’s degree (with at least 3-4 years’ experience) or Master's degree with (with at least 1-2 years’ experience) in data related domain, computer science, statistics, or a related field.
-
Proven experience as a Data Analyst, with a strong background in data management, analysis, and visualization.
-
Holding recognized Project Management certification (CAPM, PMP, etc.).
BONUS POINTS IF YOU HAVE:
- Proficiency in Python, DAX, PowerBi, and T-SQL, showcasing the ability to handle complex data-related tasks.
- In-depth knowledge of data cataloging, business glossaries, and data dictionaries, ensuring data accuracy and adherence to best practices.
- Strong problem-solving skills and keen attention to detail, ensuring accurate and actionable data insights.
- Excellent communication and interpersonal skills, enabling effective collaboration with team members and stakeholders.
- Strong team spirit and a positive attitude, fostering a collaborative and supportive work environment.
- Strong knowledge of data structures and data modeling concepts.
- Familiarity with ETL processes and tools, with proficiency in Python and Power BI being advantageous.
- Detail-oriented and highly organized, with a keen eye for data accuracy and quality.
- Strong problem-solving and analytical skills.
- Self-motivated and eager to learn about data engineering and data science practices.
- Ability to arrange priorities and escalate competing risks to meet deadlines
- Keen eye for detail and adept problem-solving abilities
- Must have demonstrated experience relaying and receiving information (written and verbal)
- Effective skills in Microsoft Office
- Equipped to work independently and as part of a team
About Accenture
Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale.
We are a talent and innovation-led company serving clients in more than 120 countries. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.
This LinkedIn company page is moderated. When engaging with Accenture, we encourage everyone to:
- Use common courtesy and be respectful of others.
- Create your own original content and avoid content that you know to be fraudulent.
- Never repost someone else's copyrighted work, unless you have permission.
- Never post personal, identifying, or confidential information.
We reserve the right to delete comments or posts we deem to be:
- Profane, obscene, inappropriate, offensive, abusive material.
- Spam, repeated comments and commercial messages and personal advertisements.
- Discriminatory or that contain hateful speech of any kind regarding age, gender, race, religion, nationality, sexual orientation, gender identity or disability.
- Threats; personal attacks; abusive, defamatory, derogatory, or inflammatory language; or stalking or harassment of any individual, entity or organization.
- False, inaccurate, libelous, or otherwise misleading in any way.