Microsoft Excel (Advanced Analytics Add-ons) refers to a set of tools and extensions designed to enhance Excel's capabilities for advanced data analysis. These add-ons include functionalities for statistical analysis, predictive modeling, machine learning, and data visualization, allowing users to perform complex analytics tasks directly within Excel.
Microsoft Excel (Advanced Analytics Add-ons)

About Microsoft Excel (Advanced Analytics Add-ons)
Microsoft Excel's Advanced Analytics Add-ons were developed to expand Excel's data analysis capabilities. These tools emerged as part of Microsoft's broader effort to integrate advanced analytical functions into their Office suite, responding to the growing demand for sophisticated data processing within familiar software. The exact timeline and creators of specific add-ons are not always clear, but they have evolved significantly since Excel's initial release in 1985, driven by user needs and technological advancements.
Strengths of Microsoft Excel (Advanced Analytics Add-ons) include its integration with Excel's familiar interface, extensive functionalities for data analysis, and ease of use for non-technical users. Weaknesses involve limited scalability for very large datasets and potential performance issues with complex calculations. Competitors include tools like Tableau, R, Python with libraries such as Pandas and SciPy, and SAS.
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How to hire a Microsoft Excel (Advanced Analytics Add-ons) expert
A Microsoft Excel (Advanced Analytics Add-ons) expert must have strong proficiency in Excel functions and formulas, knowledge of statistical analysis methods, experience with data visualization tools like Power Query and Power Pivot, familiarity with VBA for automation, and the ability to use add-ons such as Solver and Analysis ToolPak for advanced analytics tasks.

Mauro K.
Skills
An extensive background in market research has fostered a consistent expertise in data analysis, evident throughout the professional journey. This expertise encompasses sales analysis, campaign performance evaluation, and customer retention strategies within e-commerce and franchising sectors. Engagement in projects spanning goal deployment, e-commerce launches, and process optimization has further refined these skills. Proficiency in creating dashboards and reports through Excel and Power BI facilitates the visualization and monitoring of key performance indicators.

Ana C.
Skills
A Production Engineer with a degree from Universidade Veiga de Almeida and additional qualifications in Data Science from the Data Science Academy, possesses a focused expertise in the field. Extensive experience in sports content production, specifically American football, began in 2016 and culminated in the launch of a personal project in 2021, which honed communication, creativity, planning, and critical analysis skills. With four years of Technology industry experience, project involvement has included Speech to Text (Azure), Data Engineering using Azure Data Lake Gen2 and Data Factory, and maintenance of Virtual Analyzers for a petrochemical client, encompassing comprehensive Data Science project activities. Further experience includes an Associate Product Manager role with a data focus in the Logistics sector. Currently undergoing Machine Learning Engineer training at the Data Science Academy, with an anticipated completion date of April 2024, actively seeking a position as a Data Scientist.

Daniel R.
Skills
Possessing over 15 years of experience in Information Technology, expertise encompasses data engineering, business intelligence, data warehousing, requirements analysis, and systems development.

Alexandre G.
Skills
An accomplished back-end developer and technical leader with over three decades of experience, certified in CPA-20 by ANBIMA, demonstrating extensive knowledge in investment products including stocks, derivatives, fixed income, and cryptocurrencies. Distinguished for an adeptness at advocating for organizational interests, resolving intricate challenges, and leading product initiatives with a staunch emphasis on results and customer satisfaction.
Proficient in rapidly comprehending intricate business rules and new technologies, fostering team growth by disseminating knowledge effectively. Demonstrates unwavering dedication to meeting deadlines and project scopes, consistently designing creative and scalable solutions.
Serves as a strategic intermediary between internal and external stakeholders, adept at identifying needs and providing solutions that align with organizational objectives. Expertise encompasses budget management (CAPEX & OPEX), risk management, conflict resolution, and executive reporting.
Exhibits comprehensive knowledge in various programming languages such as Python, Node.js, JavaScript, JSON, TypeScript, PHP, PL/SQL, and Shell Script. Proficiency extends to prominent frameworks including Electron, Flask, GraphQL, NestJS, ExpressJS, and Laravel, along with experience in both relational and non-relational databases such as PostgreSQL, MongoDB, MariaDB, SQL Server, and sqlite3. Employs agile methodologies including TDD, BDD, SCRUM, and Kanban to optimize workflow.
Highly skilled in integrating systems through a multitude of APIs, REST, Webservices, and microservices, consistently adopting best practices in defining and implementing tests, conducting code reviews, and managing version control, always with a priority on maintaining clean, secure, and high-quality code. Possesses a broad understanding of various sectors including insurance, programmatic media, outsourcing, and financial markets, swiftly adapting to new domains and staying abreast of emerging technologies, including AI and Generative AI. Familiar with containerization using Docker and Vagrant, front-end development with Angular, React, and JQuery, and cloud platforms such as AWS and GCP.
Available for onsite, hybrid, or remote work in São Paulo, offering versatility in employment modalities including CLT, temporary, or PJ. Preparing for CEA certification to further enhance contributions either in system development or exploring new professional challenges within the financial market.

ÍCaro P.
Skills
A statistician with more than a decade of industry experience, including five years focused on data analytics. Expertise in generating technical reports using R and SQL, visualizing data with tools such as Power BI, Metabase, and Google Looker, and developing machine learning models. Proficiency in database management. Known for a methodical and analytical approach to business problem-solving, coupled with a willingness to acquire new skills and a strong ability to excel in collaborative environments. Available for freelance contract engagements within structured company frameworks.

Carlos S.
Skills
A graduate in Actuarial Science from UFMG, currently advancing studies in Computing at UNA, with professional experience in data analysis, manipulation, and interpretation to identify potential risks or impactful variations. Proficient in generating detailed reports that include tables, graphs, and statistical analysis. Skilled in using data science algorithms to price products, leveraging tools such as R, Excel VBA, SAS, SQL, and Power BI. Demonstrates dedication to process improvement through technology and conducts thorough research to find solutions when necessary.

Jorge F.
Skills
Graduate in Systems Analysis and Development with a strong dedication to ensuring product quality and optimizing test readiness. Possesses expertise in both functional and automated testing methodologies for web and mobile platforms.

Ciro R.
Skills
With 12 years of experience in technology, the candidate has built a robust background in digital products, commencing their career at prominent Brazilian e-commerce firms. In 2015, they undertook the development of a digital product from inception for a startup focused on app promotion. This endeavor paved the way for the creation of their initial digital product, Motop, in 2017, concurrent with their commencement as a Product Owner. By 2020, their expertise extended to teaching Digital Product Management.
*Estimations are based on information from Glassdoor, salary.com and live Howdy data.
USA
$ 224K
Employer Cost
$ 127K
Employer Cost
$ 97K
Benefits + Taxes + Fees
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