What does a summer analyst do?

Un analista de verano, debe tener muy claro la necesidad de negocio de la empresa a nivel de estacionalidad. Antes de recoger los datos, debemos saber hacia dónde vamos para poder saber que datos vamos a necesitar y con qué granularidad. ésto es clave para poder lograr un modelo óptimo desde la base y no tener que agregar sobre la marcha tablas y tablas que lleven a un modelo en espagueti.

In addition to the mentioned steps, a summer analyst might also engage in: 1. Data Validation: Ensuring the accuracy and consistency of collected data by validating it against predefined criteria. 2. API Integration: Utilising APIs to directly access and retrieve data from online platforms or databases. 3. Ethical Considerations: Being mindful of ethical considerations related to data privacy and compliance with relevant regulations while collecting and handling data. 4. Automated Data Collection: Implementing automation tools or scripts to streamline and speed up the data collection process. 5. Collaboration: Working closely with teams to understand specific data requirements and refining the collection process accordingly.

A summer analyst works as an intern for a bank, typically on a three-month term during the summer.The work of a summer analyst is relatively simple if one has a background in finances. Usually, the duties of a summer analyst revolve around performing tasks to support full-time analysts, which typically include entering data into systems, organizing financial documents

In addition to gathering data from diverse sources, a summer analyst may also need to ensure data accuracy, clean and preprocess the collected data for analysis, and possibly collaborate with other team members to validate findings. Attention to detail is crucial to identify any inconsistencies or outliers that could impact the analysis. Being able to efficiently navigate and manipulate data using various tools is essential for a comprehensive and accurate analysis.

Data is first and foremost a source of information for the analyst to utilise in order to make sound judgement calls. There are a wide variety of ways and means to achieving this effectively but most importantly, the analyst must understand the context, determine what the actual vs expected differential is and use this to obtain key insights. For example, in the world of risk management, it can be a wonderful lead indicator of where a potential issue is arising that may impact the business or its clients. A good example is the firms that quickly recognised the disaster that was US mortgage backed securities in 2008.

Luego de recopilar los datos, un analista de verano debe realizar el proceso de limpieza y modelado. Es importante que llevemos a la herramienta de visualización los datos lo más ordenados y limpios posibles, evitando la lógica pesada en esa capa. De éste modo los informes serán más performantes.

In addition to the mentioned steps, For a summer analyst, mastering data modeling is crucial, it's about efficiently organizing data, accurately reflecting business logic, ensuring integrity, and laying the foundation for smooth application development. It's not just a task, it's a key to project success, enabling effective collaboration, saving time and costs, and supporting future growth. In short, understanding data modeling is a game-changer, making you an essential contributor to the team's accomplishments.

More than 95% of data sources are prepared by non-Data people ( Data Analysts, Data Scientists or Data Engineers). Those are either Backend Engineers, Frontend Engineers or Application developers. Mostly they do take care of data relationship and scalability with continuous data stream. The time when they store or planning to store the data they dont care how data analyst or data scientist are going to use it further for solving million dollar questions for the real business or making the business real one. So, Data Preprocessing is the key process to translate the acquired dataset into the specific format/shape which are to be consumed by the algorithms or programs used by Data Analysts, Data Scientists or Data Engineers.

Proficiency in the use of data software doesn't help much if the summer analyst doesn't have the technical ability to understand and transform the data that will be used, and also needs to be able to show people who don't have as much understanding of the subject how it can impact them, so that the information reaches those who need it in a clean and easy-to-understand way.

Whenever a summer analyst receives data, needs to verify the data source, clean errors, remove or merge the duplicates.Also identify and map the correct data for error free visualization. As a data engineer one should have a good understanding of the ETL process and also different data processing tools like SQL, Paython, Access db, R, Excell etc.

A summer analyst, particularly in data visualization, typically works on projects related to analyzing and presenting data in a visually compelling manner. They may create charts, graphs, and dashboards to help convey complex information, assisting in decision-making processes. The role often involves using tools like Tableau, Excel, or other data visualization software to transform raw data into meaningful insights for business stakeholders.

En el paso de visualización, no debemos olvidar el objetivo final del informe. Debemos tener en cuenta 3 puntos claves: A quién está dirigido, osea el público que lo va a consumir. La necesidad de negocio, y conocer kpis criticos. Mantener un buen storytelling utilizando técnicas efectivas de visualización. Todo ésto llevará al éxito del informe.

Data visualisation is the key to represents the answer of Business problems with respect to Standard Business metrics/KPIs. The combinations of KPIs/Metrics will create one Chart and Combination of Charts will become Reports and Dashboards. In order to take the important decision the stakholder needs to learn through the data/past data to understand what is the past and how will it be impacted on future if they take particular action to impact. In short, The visualisation makes the data self explanatory to understand the past or trend within data to make your business better.

One thing about Data Visualisation is that it is about telling a story. Visualisation should be simple, fitted to your audience and have proper flow. Visualisation is about putting your findings into pictures that can be understood just by looking at it.

Adding to that this is the primal part where you can communicate directly to the end user /Client through your analysis. You have to make them understand what your data is representing to them in most understandable form. You can add your creative skills to bring the desired vivid information from the gatherings & show how it can help them to achieve more towards the goal.

Si se tuvieron en cuenta los puntos anteriores sobre el armado del informe, la interpretación debe ser natural y el consumidor del informe puede comprender sin necesidad de una explicación. Siendo el analista de verano quien construye o consume el informe, el mismo debe ser fácilmente interpretable, sin sesgos y debe proveer información relevante para la toma de decisión.

Data interpretation from a summer analyst perspective involves making sense of data to extract meaningful insights that can inform business decisions. As a summer analyst, you may be working with various datasets to help your team or organization understand trends, identify opportunities, and make informed choices. Here's a breakdown of what data interpretation entails: Undertanding business objectives, Data collection and cleaning, Exploratory data analysis, statistical analysis,data visualization, pattern recognition and trend analysis, comparative analysis.

When It comes to data interpretation, the ability to articulate complex statistical findings to non-data professionals is a crucial step, as a summer analyst you might work on comparative financial data and apply advanced models like ANOVA, MANCOVA models using powerful technical tools like python, in this case you have to capitalize on your visual presentation to simplify the story telling communication process and deliver your findings and recommendations clearly and persuasively.

Interpreting data is at the core of the analyst role. You'll analyze patterns, trends, and outliers to draw meaningful conclusions. Communicating these insights to stakeholders is also a key aspect of the job.

Data interpretation is the culmination of a summer analyst's data analysis journey, where they extract meaningful insights and conclusions from processed data. Analysis and Conclusions: Analyze the data to draw relevant and meaningful conclusions. Critical Thinking: Apply critical thinking, logic, and creativity to interpret data and solve problems. Effective Communication: Clearly and persuasively communicate findings to stakeholders through presentations, reports, or summaries. Problem-Solving Skills: Use analytical insights to address specific questions or issues. Stakeholder Engagement: Tailor the communication style and content to suit the audience's needs and understanding level.

Skill development for a summer analyst often involves honing technical skills in data analysis tools like SQL, Python, or Excel. Improving proficiency in statistical methods, machine learning, and data visualization is crucial. Additionally, cultivating problem-solving skills, attention to detail, and the ability to think critically enhances the overall analytical capability. Soft skills such as effective communication, teamwork, and adaptability are equally important for collaborating with team members and presenting findings to stakeholders. Continuous learning and staying updated on emerging trends in data analytics contribute to ongoing skill development in this dynamic field.

Los analistas de verano, son los más estudiosos, ya que cuentan con un poco más de tiempo para ponerse al día con las últimas tendencias. No tener que cumplir con obligaciones como llevar a los hijos al colegio, descomprime deja espacio para la capacitación. Es buen momento para aprovechar el clima y realizar reuniones con colegas para potenciar el conocimiento en comunidad

An example of skills development is networking. Summer analysts can network with peers and the pioneers to de love a very significant soft skill that can help them in the long run. Other skills to pay attention to incorporate learning new language, project management and polishing communication skills.

As a summer analyst, developing a diverse set of skills is crucial to excel in your role. Here are key skill areas to focus on for skill development: Analytical skills, quantitative skills, programming skills,data visualization , excel proficiency, SQL knowledge, problem solving, communication skills.

Skills development is a significant advantage of the summer analyst role, offering a robust platform for enhancing data analysis capabilities. Learning from Others: Gain insights and knowledge from experienced mentors, peers, and clients. Feedback Reception: Receive constructive feedback on your work to refine your skills. Industry Exposure: Explore various domains and industries to broaden your understanding. Discovering Interests: Identify and pursue your passions within the data analysis field. Networking: Build valuable connections and networks in the industry. Resume Enhancement: Strengthen your resume and portfolio with practical experience and accomplishments.

It can serve as a stepping stone to roles like investment banking, asset management, consulting, or corporate finance. Deonstrating below qualities will boost the chances of opportunities- Network: Build relationships with colleagues and professionals in the industry. Learn: Understand the company's operations and industry trends. Initiative: Take on additional responsibilities to showcase your skills. Communication: Effectively communicate your contributions and learnings. Professionalism: Demonstrate a strong work ethic and positive attitude.

Transitioning from a Summer Analyst to a coveted career in PMO or Consulting requires building strong organizational and communication skills, pivotal in both fields. Gain hands-on experience with project management tools for PMO roles. In Consulting, stay informed about industry trends, enhance analytical abilities, and foster a problem-solving mindset. Network, seek mentorship, and consider relevant certifications. Demonstrate adaptability, a proactive attitude, and a genuine understanding of client needs. Data analysis experience adds value by showcasing technical skills and the ability to derive valuable insights, ensuring a smooth transition into these highly sought-after careers.

O analista de ver?o e analista de dados s?o papéis distintos. O analista de ver?o concentra-se em quest?es sazonais, adaptando estratégias de negócios para aproveitar as oportunidades específicas e mudan?as visando desenvolver ou oferecer habilidades em áreas distintas. Por outro lado, o analista de dados lida com a interpreta??o e análise de dados em geral, independentemente da sazonalidade, para fornecer insights que orientem decis?es estratégicas em diversas áreas, como marketing, opera??es e tomada de decis?es corporativas. Embora ambos os papéis exijam habilidades analíticas, suas áreas de foco e expertise s?o diferentes e tem em comum capacidade de antecipar demandas e adaptar-se.

Casting Your Net: The internship isn't just about proving your worth; it's about exploring potential career paths. Network with professionals, shadow different teams, and soak up the industry knowledge like a sponge. This is your chance to discover where your passion lies and build valuable connections for the future.

Beyond the mentioned opportunities,being a summer analyst can lead to various future prospects: 1. Networking Opportunities: Networking during your summer analyst role can yield insights, mentorship and future job leads. 2. Specialization in Data Analysis: With experience, you can specialize in areas like machine learning, business intelligence or data engineering within data analysis. 3. Innovation and Research: Leverage your data analysis skills to contribute to research, innovation, and advancements, developing methodologies, algorithms or applications. 4. Continuous Learning: Stay current in the dynamic field of data analysis through continuous learning, positioning yourself at the forefront of industry trends for new opportunities.

Ethical Considerations: Being aware of and addressing ethical concerns in data handling and analysis. #EthicsInData ?? Collaboration: Working with teams across departments to support data-driven decisions. #Teamwork ?? Continuous Learning: Staying updated with the latest tools, technologies, and trends in data analysis. #NeverStopLearning ??

The role of a summer analyst can significantly differ based on the company, industry, and specific department they work in. For example, in financial services firms like investment banking, summer analysts often focus on financial modelling and developing investment strategies. Whereas, in tech companies, their role might revolve around data analysis and assisting in product development tasks. While some companies view summer analyst programs as crucial for sourcing full-time recruits, others might treat these roles as short-term assignments without the promise of future employment opportunities.

Don't just focus on the tasks. Think about how this experience shapes you. How does it align with your values and career goals? What networks are you building? Remember, it's not just about the job; it's about your journey.

Pending reporing filling, invoice processing, collect market data for research, formatting of presentation and reports, help in physical audit of inventories, industrial reviews, data punching, outreach emails and calls

Muitas vezes, nos concentramos em aspectos técnicos como algoritmos, modelos estatísticos e precis?o dos dados. No entanto, a capacidade de contar uma história com esses dados é igualmente importante. Aqui est?o alguns pontos que gostaria de compartilhar: Dados como História; Humaniza??o dos Dados; Diversidade e Inclus?o em Dados; Educa??o e Compartilhamento de Conhecimento; e ética em Dados; Impacto Social dos Dados. Ao compartilhar esses tipos de percep??es e histórias, n?o apenas fortalecemos nossa profiss?o, mas também contribuímos para um entendimento mais amplo e responsável do papel dos dados na sociedade.